What Chatbot Development Jobs are in Hong Kong?

AI Product Lead
Location:
Kowloon City, Kowloon, HK
Brand: HSBC
Area of Interest:
Closing Date:
Date: 22 Jul 2026
**Job description**
**Role Purpose**
Lead the product vision, delivery, and adoption of an AI-enabled knowledge base for internal banking operations-turning policies, procedures, risks, controls, and processes into trusted, versioned knowledge assets (including knowledge graphs). You will sit at the intersection of product, engineering, and domain stakeholders, shaping the roadmap for **Enterprise Knowledge and Agent Systems** to transform structured and unstructured internal content into actionable intelligence that powers internal-facing agentic systems and automation.
**Key Responsibilities**
**Product Leadership & Delivery**
+ **Own the Product Strategy:** Lead the product strategy and roadmap for the Enterprise knowledge platform (extraction, representation, validation, and consumption).
+ **Translate Internal Needs:** Convert business requirements (e.g., policy interpretation, control mapping, risk insights) into clear product requirements, user stories, and acceptance criteria.
+ **Prioritise Workstreams:** Drive delivery across multiple streams-extraction, ontology/graph, quality, and platform integration-ensuring measurable outcomes for internal efficiency.
+ **Define Success:** Track metrics including coverage, accuracy, freshness, latency, and internal adoption rates.
**Knowledge Extraction & Structuring (LLM-enabled)**
+ **Internal Data Pipelines:** Guide the development of pipelines that convert unstructured internal content into structured artefacts using LLMs and NLP techniques.
+ **Standards & Evaluation:** Set standards for prompt engineering, evaluation, and regression testing of extracted internal artefacts.
+ **Entity Resolution:** Oversee approaches to ensure consistent identifiers across siloed internal systems (e.g., Core Banking, ERP, and procedural documentation).
**Knowledge Representation & Graph/Ontology Governance**
+ **Representation Design:** Lead design decisions regarding ontology alignment, graph modelling patterns, and versioning strategies.
+ **Adherence to Standards:** Ensure all knowledge models align with broader ontology standards.
+ **Trust & Lineage:** Establish versioning, lineage, and change management so internal consumers can audit and trust system outputs.
**Quality, Risk, and Controls**
+ **Quality Gates:** Implement automated and manual quality checks for extraction and graph population.
+ **Risk Partnership:** Partner with risk, compliance, and governance stakeholders to ensure the platform meets control expectations for internal commercial banking content.
+ **Responsible AI:** Drive practices that ensure transparency, traceability, and safe deployment patterns for internal agents.
**Platform Integration & Enablement**
+ **Agentic Workflows:** Ensure the knowledge base is consumable via APIs to support internal use-cases such as search, Q&A, and agent-led orchestration.
+ **Internal Application Support:** Collaborate with teams integrating LLM agents into internal-facing products, ensuring high performance and reliability.
+ **Onboarding & Adoption:** Create enablement materials (playbooks, documentation) to accelerate the adoption of agentic systems across internal banking teams.
**What You'll Bring (Required)**
+ **Strong Python engineering background** with solid software design and engineering practices.
+ **Proven experience integrating LLMs** into production software (including evaluation, monitoring, and iteration).
+ **Hands-on experience with:**
+ Methods for converting unstructured to structured data using LLMs.
+ Prompt engineering and prompt lifecycle management.
+ API integration and service-oriented design.
+ Git-based development workflows.
+ **Working knowledge of NLP concepts** and practical application in information extraction.
+ **Knowledge graph & Ontology modelling:** Experience with knowledge graph design & development and ontology-driven modelling (enough to lead decisions and guide specialists).
+ **Cross-functional leadership:** Ability to lead delivery by balancing internal stakeholder needs, technical constraints, and delivery pace.
**Nice to Have**
+ Knowledge of Commercial Banking policies, procedures, risks, controls, and process documentation.
+ Deeper expertise in ontology engineering or knowledge graph platforms (e.g., Neo4j, RDF/OWL).
+ Deeper expertise in NLP pipelines and information extraction evaluation methodologies.
**Ways of Working/Behaviours**
+ **Comfortable with Ambiguity:** Able to turn broad enterprise goals (turn "we need better policy answers" )into a deliverable product plan.
+ **Collaborative Leadership:** An inclusive style that aligns engineers, internal SMEs, and governance partners.
+ **Strong Ownership Mindset:** Proactively setting direction and unblocking delivery to ensure the platform is used and trusted.
**Example Deliverables (First 90 Days)**
+ A prioritised roadmap covering extraction, ontology/graph, quality gates, and consumer APIs.
+ A measurable quality framework tailored to internal banking documentation (precision/recall, entity resolution KPIs).
+ A reference architecture for LLM-assisted extraction + knowledge graph population.
+ A pilot enterprise use-case (e.g., internal policy co-pilot) integrated end-to-end.

Reporting to the AI Change Enablement Lead, Asia, the **AI Adoption Manager, Asia** will help advance Manulife Asia's ambition to become an AI-powered organization. This role supports the execution of Asia's AI adoption agenda by turning strategy into actions, coordinating initiatives across teams, maintaining playbooks and templates, tracking progress and success signals, and helping markets convert regional priorities into measurable activation plans.
Working in close partnership with regional and market stakeholders, you will focus on program execution, coordination, rollout support, and reinforcing change efforts, ensuring that strategic vision is consistently put into practice throughout the region for 13,000-15,000 employees.
**Position Responsibilities:**
**Program Governance and Operating Cadence**
+ Support the Asia AI Adoption SteerCo and Working Committee by preparing agendas, tracking decisions, documenting actions, and following up with regional and market owners.
+ Maintain a clear view of adoption priorities, dependencies, risks, and escalations across AI, IT, People, Comms, and market teams.
+ Help coordinate regional and market cadences so adoption plans, owner commitments, and progress updates are visible and consistently managed.
+ Support preparation of executive-ready updates for AI adoption governance forums, including SteerCo, leadership updates, and market reviews.
**AI Change Enablement**
+ Coordinate enablement activities by preparing materials, coordinating tasks and event logistics, managing timelines and dependencies, and ensuring end-to-end follow through to build AI literacy, awareness, confidence, and sustained usage of Manulife internal AI tools and Microsoft AI products (e.g. Copilot Chat, M365 Copilot, Copilot Studio) across Asia.
+ Maintain and improve AI adoption playbooks, market planning templates, activation toolkits, communication packs, office-hour materials, and reusable assets.
+ Support readiness and change impact assessments with markets and functions to identify adoption barriers, capability gaps, and required interventions.
+ Foster a culture of learning and sharing by organizing events and actively engaging with AI Community of Practice.
+ Encourage collaboration, knowledge exchange, and best practice sharing among teams to accelerate AI adoption across the region.
**AI Leadership:**
+ Stay current on AI trends, competitor movements, emerging technologies, low-code/no-code advancements, and best practices in transformation.
+ Provide thought leadership by identifying emerging trends, sharing innovative approaches, and guiding leaders and teams on effective and responsible AI adoption.
+ Facilitate discovery, activation, ideation sessions in identifying practical ways to integrate AI into business processes.
**Measurements and Insights Generation:**
+ Collect and analyze participation, engagement, and execution metrics
+ Synthesize adoption themes and barriers, and recommend practical improvements and recommendations.
+ Prepare status updates and summaries for C-level senior executives to support decision making and continuous improvement.
**Required Qualifications:**
+ 5+ years of experience and strong knowledge of organizational change management, change enablement, large-scale rollout support in a regional or cross-functional environment
+ Comfortable working with ambiguity and applying judgment to analyze situations, organize information, and move work forward (including escalating when needed).
+ Proven success in change management and ability to deliver accurate, timely outputs while working within established processes, guidelines, and policies in a fast moving environment.
+ Strong understanding of AI concepts, familiarity with AI productivity tools, and emerging technologies.
+ AI-first mindset with the ability to spot practical opportunities to apply AI in day-to-day workflows and translate them into simple guidance for end users.
+ Understanding of responsible AI and safe data handling practices, and willingness to model good habits.
+ Experience tracking adoption, engagement, training, or change metrics and converting data into practical insights.
**Preferred Qualifications:**
+ Prior experience working across APAC or in cross-cultural environments
+ Strong communications and stakeholder management skills across leadership, business and technical teams.
+ Exposure to Microsoft AI tools (Copilot Chat, M365 Copilot, Copilot Studio) and data analytic tools (e.g. PowerBI)
+ AI Certifications/credentials
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。
**Working Arrangement**
ハイブリッド勤務

The Senior Manager, Artificial Intelligence is a technical leader responsible for designing, developing, and implementing advanced AI and machine learning solutions to address strategic business challenges. This role is hands-on and project-focused, with direct accountability for delivering high-impact analytics initiatives from conception through to deployment and operationalization.
This is a highly visible role for a self-motivated problem solver who excels at working independently, communicates effectively with technical and non-technical audiences, and is passionate about shaping the future of AI in the life insurance industry.
**Position Responsibilities:**
+ Partner with business stakeholders across underwriting, claims, distribution, customer experience, and actuarial functions to identify opportunities where data science and AI can drive measurable business impact.
+ Translate business challenges into analytical problems, defining success metrics and solution approaches.
+ Lead end-to-end delivery of analytics use cases from problem framing through deployment and integration.
+ Serve as a bridge between business and technical teams ensuring solutions meet business needs.
+ Deliver insights and recommendations in a clear, business-friendly manner.
+ Drive adoption of analytics solutions by embedding them into workflows and decision processes.
+ Quantify and communicate business impact including revenue growth, cost efficiency, claims reduction, and persistency improvement.
+ Apply data science techniques to underwriting, claims, customer retention, distribution effectiveness, and personalization.
+ Leverage Generative AI and LLMs to enhance business productivity.
+ Ensure compliance with regulatory requirements, model governance, and responsible AI standards.
+ Collaborate with actuarial, risk, compliance, and IT teams.
+ Mentor junior team members and promote data-driven culture.
**Required Qualifications:**
+ Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or Actuarial Science.
+ 6-10 years of experience in data science, AI, or advanced analytics with strong business-facing exposure.
+ Prior experience in life insurance or related financial services industries preferred.
+ Solid understanding of the life insurance value chain.
+ Proven ability to translate business needs into analytical solutions.
+ Hands-on experience with machine learning and statistical modeling.
+ Proficiency in Python, R, or similar tools.
+ Experience working with large and complex datasets.
+ Exposure to Generative AI / LLM use cases is highly valued.
+ Strong business acumen linking analytics to financial outcomes.
+ Experience in agile environments.
+ Excellent communication and stakeholder management skills.
+ Familiarity with insurance regulations and model governance is an advantage.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。
**Working Arrangement**
ハイブリッド勤務

The **Lead Data Scientist - Underwriting** is a senior leadership role responsible for driving **regional and BU-level AI, ML, and Generative AI solutions** to transform underwriting decision-making across Asia. This role combines **deep technical expertise, people leadership, and strong business partnership** to deliver scalable, compliant, and value-generating underwriting capabilities.
You will **lead and grow a team of data scientists** focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the **Chief AI Officer** in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.
**Position Responsibilities:**
**Technical & Business Leadership**
+ Lead the **design, development, and deployment** of AI, ML, and **Generative AI** solutions supporting underwriting use cases, including:
+ Underwriting summarization and document intelligence
+ Risk assessment and decision support
+ Straight-through processing (STP) and workflow automation
+ Data-driven underwriting rules optimization
+ Translate complex underwriting and business problems into **scalable analytical and GenAI solutions** with measurable business outcomes.
+ Drive adoption of AI solutions by embedding them into **end-to-end underwriting workflows** , ensuring usability, governance, and regulatory compliance.
+ Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.
+ **Lead, coach, and develop a high-performing team of data scientists** focused on underwriting AI and analytics.
**Generative AI & Advanced Analytics**
+ Lead the application of **AI and especially GenAI** in underwriting, including:
+ Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)
+ Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks
+ Model orchestration, guardrails, and human-in-the-loop designs
+ Ensure AI solutions are **responsible, explainable, auditable, and compliant** with internal AI governance and regulatory expectations.
+ Establish standards for **model lifecycle management** , performance monitoring, and value tracking for AI and GenAI solutions.
**Strategy, Governance & Stakeholder Management**
+ Contribute to **AI and data strategy** , focusing on data optimization, monetization, and external data enrichment.
+ Collaborate with global and regional teams to define **common modeling standards, governance, and reusable AI assets** , aligned with AI CoE guidelines.
+ Maintain a regional/global **model repository** to track models in use, performance, and risks.
+ Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.
+ Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.
**Required Qualifications:**
+ 10+ years of experience in **AI, machine learning, or advanced analytics** , preferably within financial services.
+ Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).
+ Proven experience leading complex analytics initiatives in **highly regulated environments** .
**Technical & GenAI Skills**
+ Strong hands-on expertise in **ML/statistical modeling** , segmentation, and underwriting or claims analytics.
+ Advanced proficiency in **Python, SQL** , and common data science toolchains (R, SAS a plus).
+ Practical experience with **Generative AI** , including:
+ Large Language Models (LLMs)
+ Prompt engineering and RAG architectures
+ Model evaluation, bias mitigation, and explainability
+ AI governance and responsible AI practices
+ Experience with **cloud and big data platforms** (e.g., Azure, Spark, Databricks, Hadoop).
+ Strong understanding of deploying models into production, including monitoring and lifecycle management.
**Leadership & Communication**
+ Demonstrated ability to **lead and scale teams** , mentor data scientists, and manage ambiguity.
+ Strong stakeholder management skills with the ability to influence senior leaders across regions.
+ Excellent communication and presentation skills, translating technical concepts into business language.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。
**Working Arrangement**
ハイブリッド勤務

Cloud Engineer, Data and AI, Professional Services, Google Cloud (Multiple Languages)
_corporate_fare_ Google _place_ Hong Kong
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
+ 6 years of experience in technical client services.
+ Experience in software development with Python.
+ Ability to communicate in English and Mandarin or Cantonese fluently to support client relationship management in this region.
**Preferred qualifications:**
+ MBA or Master's degree in Computer Science or an Engineering field.
+ 7 years of experience in technical client services.
+ Experience working with technical stakeholders to understand requirements and provide technical leadership.
+ Experience in agentic workflow or LLM-based solutions.
+ Experience in developing cloud-based databases, data analytics, or extract, transform, load (ETL) systems using one or more technologies such as Oracle, SQL, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, or Apache Beam and developing conversational analytics.
**About the job**
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud Data and AI Engineer, you will design and implement Data and AI solutions for customer use cases, leveraging core Google products including Cloud SQL, Big Query, DataFlow, DataForm and Gemini Enterprise Application Platform. You will work with customers to identify opportunities to apply Data & AI solution in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Work as a trusted technical advisor to customers and solve complex cloud data and AI challenges in the areas of relational database, data analytics, conversational analytics and agentic workflow.
+ Create and deliver best practice recommendations, tutorials, blog articles, open-source and sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
+ Travel 30% of the time within the region for meetings, technical reviews, and onsite delivery activities.
+ Act as a liaison for the engineering and product teams to commercialize solutions with partners and customers.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
We are seeking an experienced AI & Data Specialist to join our team in Hong Kong. In this role, you will serve as a trusted customer advisor on AI and data, combining deep market understanding with customer insights to shape go-to-market strategies. You will also act as a critical bridge between our customers and global service teams, channeling product feature feedback to drive roadmap priorities.
Key job responsibilities
- Customer Advisory: Serve as a strategic advisor to enterprise customers on AI and data adoption, helping them understand opportunities, trends, and best practices relevant to their industry
- Market Observation: Monitor the AI and data landscape - including competitor moves, emerging technologies, and regional market dynamics - to identify opportunities and threats
- Go-to-Market Strategy: Translate customer insights and market intelligence into actionable GTM strategies; collaborate with sales, marketing, and specialist teams to drive adoption of AI and data services
- Product Feedback & Liaison: Act as the bridge between customers and global service/product teams - consolidate feature requests, prioritize feedback, and advocate for regional customer needs in product roadmap discussions
- Thought Leadership: Represent the organization at customer meetings, industry events, and internal forums; contribute to whitepapers and market reports on AI and data trends
- Cross-functional Collaboration: Partner with account teams, partner organizations, and global specialists to deliver a cohesive customer experience
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Bachelor's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Deep subject-matter expertise in AI and data technologies (e.g., generative AI, machine learning, data platforms, analytics) with the ability to credibly advise customers at a strategic level
- Demonstrated ability to translate technical trends into business-relevant insights and strategies
- Experience gathering and synthesizing customer feedback to influence product or service direction
Preferred Qualifications
- Master's degree or above
- Experience presenting to both technical and non-technical executive audiences
- Experience in the Asia-Pacific market; fluency in Cantonese and/or Mandarin
- Familiarity with cloud-based AI and data services (e.g., generative AI, LLMs, AI agents, data lakes, analytics platforms)
- Background working with global product or service teams in a feedback/liaison capacity
- Proven track record of developing or contributing to go-to-market strategies
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**Responsibilities**
+ Define and guide enterprise data architecture strategies
+ Design data lake, warehouse, and lakehouse architectures
+ Establish ETL/ELT, ingestion, and transformation patterns
+ Lead data modeling initiatives
+ Support cloud data platform architecture using AliCloud, Databricks, and Azure
+ Drive data governance practices including catalog, lineage, compliance, and access control
**Qualifications and Skills**
+ 10+ years of experience in data architecture and enterprise data platforms
+ Strong knowledge of Data Lake, Data Warehouse, and Lakehouse architectures
+ Experience with Medallion Architecture and Data Products concepts
+ Expertise in ETL/ELT, ingestion, and transformation design patterns
+ Hands-on experience with AliCloud, Databricks, and Azure data platforms
+ Proficiency in Spark and PySpark
+ Strong data modeling experience
+ Knowledge of data governance including catalog, lineage, compliance, and access control
\#LI-AL1
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Job Summary:**
+ Responsible for assessing, defining and championing the IT architecture strategies, principles, policies and standards in alignment with Cummins IT strategy and governing their use; coordinates with project teams to create, document, assess and/or validate the application and infrastructure architecture artifacts / designs for specific systems to meet Cummins security policies, governance, compliance and regulations and review the architecture artifacts with the stakeholders.
**Key Responsibilities:**
+ Applies enterprise architecture standards including styles, stacks, and patterns and applies them effectively.
+ Develops project solution designs to meet business and technical requirements.
+ Defines reference architectures aligned with IT technology standards to be reused as building blocks for other solutions.
+ Participates as a change agent to drive strategic IT architecture direction - Cloud first, API first, DevOps , Agile etc.
+ Leads and facilitates technical analysis, solution design, and technology domain sessions to drive optimum IT solutions.
+ Builds strong relationships with customers and peers across IT to effectively promote solution development using standard technologies.
+ Maintains awareness of emerging technologies, software trends, and tools.
+ Considers multiple, varied alternatives and recommends appropriate solutions based on cost/benefit analysis.
+ Facilitates and supports execution of pilot and or proof of concept activities to validate technology capabilities.
+ Collaborates with project teams to understand requested capabilities and recommends the right set of technologies to meet the needs.
+ Provides infrastructure capacity recommendations for new applications and systems.
**Competencies:**
+ Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
+ Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
+ Decision quality - Making good and timely decisions that keep the organization moving forward.
+ Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.
+ Optimizes work processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
+ Architecture System Design - Defines and develops architecture deliverables, artifacts and building blocks (e.g. conceptual models, logical models, physical network designs, etc.) by applying architecture principles through the use of an architecture development framework and methodology that enables the organization to transform its systems in a controlled manner in response to business needs.
+ Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements.
+ System Solution Architecture - Creates solution designs and patterns using the Cummins Technical Reference Model (CTRM), CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards.
+ Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
+ Business Need Definition - Defines the business outcome that the proposed work will provide using the Business Analysis Toolkit (modeling the five aspects and creating use cases) to justify investment of resources (people, time, finances).
**Education, Licenses, Certifications:**
+ College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.
**Experience:**
+ Intermediate level of relevant work experience required. 3-6 years of experience.
**AI Platform / Infra Architect (Senior Level)**
**Cummins AI Lab - Artificial Intelligence Laboratory**
**About Cummins AI Lab**
The AI Lab develops robust, scalable infrastructure powering LLMs, agent frameworks, retrieval systems, knowledge platforms, and enterprise AI applications across Cummins' global footprint.
We design the backbone of Cummins' AI ecosystem.
We are seeking a **Senior AI Platform / Infra Architect** to lead compute, cloud, deployment, and infrastructure architecture for enterprise-scale LLM and AI systems.
**Role Overview**
This senior technical role requires expertise across **cloud architecture, distributed systems, LLM deployment, GPU infrastructure, networking, storage, and end-to-end engineering** .
You will architect the platforms that power Cummins' AI solutions globally.
**Key Responsibilities**
**1. AI Infrastructure & Deployment Architecture**
+ Design scalable LLM inference and service architectures (vLLM, Triton, DeepSpeed-Inference).
+ Architect hybrid cloud/on-prem compute for model serving, retrieval, and agent workflows.
+ Ensure high availability, security, performance, observability, and compliance.
**2. End-to-End Platform Engineering**
+ Build CI/CD, LLMOps, automation, and deployment pipelines.
+ Optimize compute, networking (RoCE/IB), caching, and I/O across AI workloads.
+ Implement monitoring, logging, tracing, and cost optimization.
**3. Foundational Platform Capability Development**
+ Build platform components including data ingestion layers, vector databases, model serving gateways, and knowledge systems.
+ Enable product teams and AI teams to develop scalable solutions on top of the infra.
**4. Technical Leadership & Collaboration**
+ Partner with AI scientists, Solution Architects, and Product teams to ensure platform alignment.
+ Lead technical design reviews and drive architectural standards.
**Must-Have Qualifications**
+ **Master's degree in Computer Science, Distributed Systems, Cloud Computing, or related fields; OR equivalent industry experience.**
+ Strong hands-on experience with cloud-native systems: Kubernetes, Docker, microservices, service mesh.
+ Deep expertise in GPU/TPU accelerators, distributed inference/training, high-performance networking.
+ **Proven experience deploying AI systems into production environments.**
+ Fluency across IaaS/PaaS/SaaS layers and hybrid cloud infrastructure.
+ Strong backend and systems engineering ability (APIs, infra automation, DevOps/LLMOps).
+ Experience in enterprise security and compliance.
**Preferred Qualifications**
+ Experience in major cloud providers or AI infrastructure teams.
+ Familiarity with industrial IT/OT integration.
+ Experience architecting large-scale, high-performance inference clusters.
**What You Will Gain**
+ Ownership of core AI infrastructure for a global enterprise.
+ Opportunity to architect high-impact, scalable AI systems that support key engineering and industrial workflows.
**Job** Systems/Information Technology
**Organization** Cummins Inc.
**Role Category** On-site with Flexibility
**Job Type** Exempt - Experienced
**ReqID**
**Relocation Package** Yes
**100% On-Site** No

**Job Summary:**
+ Assess and apply new solution designs against defined architecture strategies, principles, policies and standards in alignment with the enterprise architecture strategies. Where current strategies and principles do not meet needs, drive changes back to Principal Solution Architect. Defines application and solution designs for specific systems in coordination with project or product teams.
**Key Responsibilities:**
+ Defines component breakdown of the system; performs functional allocation to the components; establishes interfaces between systems and among system components. Effectively applies enterprise architecture standards including styles, stacks, and patterns.
+ Develops multiple design solutions; performs cost/benefit analysis; recommends optimized solution designs to meet business and analytic technical requirements.
+ Defines reference architectures aligned with architecture standards and building blocks to be applied globally.
+ Drives changes in technical architecture into solution designs. Builds strong relationships with customers and peers to effectively promote solution development using standard technologies. Maintains awareness of emerging technologies, software trends, and tools.
+ Facilitates and supports execution of pilot and or proof of concept activities to validate technology capabilities.
+ Analyzes infrastructure capacity and provides recommendations for emerging needs.
+ Maintain strong relationships to deliver business value using relevant Business Relationship Management practices.
**Competencies:**
+ Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
+ Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
+ Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
+ Decision quality - Making good and timely decisions that keep the organization moving forward.
+ Persuades - Using compelling arguments to gain the support and commitment of others.
+ Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies.
+ Change Management - Applies the Cummins structured process and tool set for engaging individuals and organizations through change to achieve and sustain business results and outcomes.
+ Architecture System Design - Defines and develops architecture deliverables, artifacts and building blocks (e.g. conceptual models, logical models, physical network designs, etc.) by applying architecture principles through the use of an architecture development framework and methodology that enables the organization to transform its systems in a controlled manner in response to business needs.
+ Solution Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
+ Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements.
+ System Solution Architecture - Creates solution designs and patterns using the Cummins Technical Reference Model (CTRM), CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards.
+ Project Issue and Risk Management - Manages the process to identify, assess and prioritize issues and risks using recommended tools and disciplines. Drives actions to minimize, monitor and control risks and issues and to maximize the most positive outcomes possible.
+ Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
**Education, Licenses, Certifications:**
+ College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.
**Experience:**
+ Intermediate experience (2-4 years) in a relevant discipline area is required with a demonstrated track record of architecture and design for cloud-based platforms. Knowledge of the latest trends in emerging technologies is highly preferred and includes: - Analyzing complex business systems, industry requirements, and governance and creating solution designs from them - Proven architecture and design experience for cloud-based platforms and enterprise applications Intermediate experiences in the following are preferred: - Experience with architecting and integrating enterprise systems and data - Familiar with IoT technology - Knowledge of Agile software development and DevSecOps
JD - AI Lab Solution Architect (Senior Level)
Cummins AI Lab - Artificial Intelligence Laboratory
About Cummins AI Lab
The AI Lab integrates applied AI research, engineering workflows, manufacturing processes, and enterprise platforms to deliver high-value AI solutions across Cummins' global operations. We drive both rapid PoCs and full-scale production deployments.
We are seeking an AI Lab Solution Architect to lead AI solution design and end-to-end delivery of enterprise-grade AI initiatives.
Role Overview
This senior role focuses on leading AI solution strategy, architecture alignment, and end-to-end execution across complex enterprise environments.
The AI Lab Solution Architect works cross-functionally with LLM scientists, platform architects, product architects, domain experts, and global stakeholders to design, scope, and deliver PoCs and production-grade AI systems.
This role emphasizes solution ownership and delivery excellence, rather than direct people management of an AI team.
Key Responsibilities 1. AI Solution Leadership
- Lead the design, scoping, and structuring of AI solutions aligned with business objectives.
- Translate business requirements into end-to-end AI solution architectures.
- Define solution roadmaps from ideation → PoC → production deployment.
- Ensure alignment across modeling, data, engineering, platform, and infrastructure components.
2. Technical Oversight & Architecture Governance
- Review and validate solution architectures, prototypes, and implementation plans.
- Ensure AI solutions meet enterprise standards for scalability, security, reliability, and performance.
- Guide cross-functional teams across research, development, data pipelines, modeling, engineering, and deployment.
- Drive technical risk identification and mitigation strategies.
3. Cross-Functional Coordination
- Partner with Solution Architects, Platform Architects, Domain Experts, and IT stakeholders.
- Work closely with global engineering, manufacturing, service, and enterprise platform teams.
- Align priorities, scope, dependencies, and measurable success metrics.
- Act as the primary solution owner across multiple stakeholder groups.
4. End-to-End Delivery Management
- Lead the lifecycle of AI initiatives from concept validation to enterprise rollout.
- Drive execution planning, milestone tracking, and delivery accountability.
- Ensure high-quality and timely deployment of AI solutions.
- Communicate solution progress, trade-offs, and outcomes to business and technical leadership.
Must-Have Qualifications
- Master's degree in AI, Computer Science, Engineering, or related fields; OR equivalent industry experience.
- Strong experience delivering production AI/LLM systems in enterprise environments.
- Proven experience leading complex AI solution design and cross-functional delivery.
- Deep understanding of full AI lifecycle (requirements → exploration → data → modeling → engineering → infrastructure → deployment).
- Experience working in multi-region, cross-functional enterprise settings.
- Excellent communication, stakeholder alignment, and structured problem-solving skills.
Preferred Qualifications
- Experience with cloud platforms and enterprise AI infrastructure.
- Experience in engineering, manufacturing, or industrial AI applications.
- Experience managing large-scale AI solution portfolios or multi-stream AI programs.
What You Will Gain
- Leadership role driving high-impact AI solution initiatives across Cummins.
- Opportunity to shape enterprise AI architecture and delivery standards.
- High strategic visibility and direct influence on enterprise AI transformation.
**Job** Systems/Information Technology
**Organization** Cummins Inc.
**Role Category** On-site with Flexibility
**Job Type** Exempt - Experienced
**ReqID**
**Relocation Package** Yes
**100% On-Site** No