What Jobs are available for AI Architect in Hong Kong?

Senior Data AI Architect

Join the Asia Data Office as a Senior Data AI Architect to support the development of innovative data and AI solutions and contribute to fostering a data-driven culture across our regional partners. This role is ideal for individuals passionate about data, AI, innovation, with full-stack AI/ML skills, and understanding the emerging technologies, particularly in areas such as Generative / Agentic AI, MLOps / LLMOps, and various data platforms including Azure Databricks, AI Foundry, Kubernetes Service, and Alibaba Cloud.

Position Responsibilities:

• AI Applications:

• Responsible for the architecture design for data and AI in Aisa Data Office, and collaborate with other stakeholders to ensure the standards are followed and fit for purpose design applied.

• Participate and drive the architectural discussions on data provisions for AI applications to enhance data processing and analytics capabilities.
• Create POC solutions independently with emerging AI technologies such as RAG, Agentic AI, MCP, low-code development, etc., and propose the best course of action to adopt new architectural patterns.
• Design and enhance reusable frameworks to maximize repeatability of solutions and reduce cost & overall time-to-market.
• Drive and improve CICD / LLMOps / MLOps practices to streamline and automate build, deploy, model management processes using tools such as GitHub Actions, Jenkins, etc.

• Explore AI capabilities in both Microsoft Azure and AliCloud, and align architectural design and internal processes with multiple cloud providers.

• Architectural Support and Implementation:

• Assist in the design and implementation of scalable, secure data and AI related architectures.

• Support the resolution of architectural issues and contribute to robust solutions using industry best practices.

• Facilitate data flow throughout the organization under the guidance of senior architects.

• Data Management and Integration:

• Help develop and maintain component data architectures.

• Assist in creating templates and complex solution components for software and platform engineers.

• Application Architecture:

• Support the design of application architectures and troubleshoot issues with component architectures.

• Team Collaboration:

• Work with teams towards common objectives, providing support in data architecture and security.

• Innovation and Learning:

• Explore emerging technologies and assess their potential impact.

• Engage in continuous learning from both successes and failures.

• Documentation and Reporting:

• Document data architecture designs, security policies, and procedures.

• Report on data solutions and security effectiveness to senior management.

Required Qualifications:

• Bachelor's degree in computer science, Information Technology, or related fields.
• 7 years of experience in data platform, Architecture, solution design, engineering, or database administration.
• Proficient in data platform technologies and security practices.
• Ability to align software/platform/infrastructure architecture with business strategies.
• Excellent communication and collaboration skills.
• Able to work independently and manage partnerships and stakeholders
• Insight into the insurance and/or financial sectors is a plus.
• Ability to exercise judgment with limited supervision to achieve tasks.
• Capable of leading and mentoring other engineers & team members to develop skills and best practices.
• Relevant certification such as Azure Solution Architect Expert and/or AI related specialization is beneficial.

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.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .

Working Arrangement

Hybrid

We are looking for a strategic and technically visionary AI Architect to lead the development of advanced LLM-based character systems that operate within tightly controlled narrative environments. This role requires deep expertise in context-aware AI, emotion modeling, and dialogue memory orchestration, with a focus on delivering immersive, multi-layered user experiences across diverse audience segments.

Responsibilities

• Architect modular AI systems that combine LLMs, memory frameworks, emotional state modeling, and scene-bound logic enforcement
• Design constraint-aware interaction flows, ensuring characters behave consistently within defined narrative boundaries and cannot be bypassed through conversational loopholes
• Implement intimacy-driven emotional responses, allowing characters to evolve their tone, reactions, and behavior based on user engagement levels
• Collaborate with creative and UX teams to translate narrative goals into technically sound, emotionally resonant AI behaviors
• Lead integration of real-time voice synthesis (TTS) and multi-modal interaction pipelines
• Diagnose and resolve memory inconsistencies, including short-term recall gaps and long-term context drift, using tools like memory gating and structured embeddings
• Guide AI Engineers and cross-functional teams, ensuring architectural coherence and scalable implementation
• Evaluate emerging tools and frameworks (e.g. Cot, guided JSON, tool calling) to enhance realism, safety, and responsiveness

Requirements

• Proven experience in LLM architecture, NLP, and multi-agent systems
• Strong proficiency in Python, ML frameworks, and orchestration platforms
• Deep understanding of emotion modeling, dialogue memory, and scene containment logic
• Experience designing AI systems for multi-layered user segmentation, with adaptive behavior based on context and engagement
• Familiarity with real-time TTS integration, latency optimization, and voice-driven interaction
• Ability to lead technical strategy across complex, multi-tool environments
• Sensitivity to content safety, user experience integrity, and ethical AI design

Benefits

• 5-day work
• Paid birthday leave
• Birthday pocket money
• Performance bonus
• Medical insurance
• Dental subsidy
• Free snack and beverage
• Friendly working environment

Interested parties please apply with the following details:

• Resume
• Current Salary
• Expected Salary
• Earliest Availability
• Portfolio

Please ensure ALL of the information above are true and up-to-date. All information collected will be used for recruitment purposes only.

Job Responsibilities:

1. Responsible for the overall architecture design of AI systems, including but not limited to data processing architecture, model training architecture, and inference architecture. Conduct comprehensive evaluations considering scalability, stability, performance, security, and other factors to ensure the architecture meets future product transition requirements and possesses strong foresight.
2. Develop the technology roadmap and architecture evolution plan. Define architectural goals and key tasks for different phases based on the company's business development strategy and AI technology trends. Guide the team in orderly execution of architecture optimization and upgrades, maintaining the AI system at an industry-leading level and providing strong support for business innovation.
3. Responsible for the deployment and launch of AI systems. Formulate detailed deployment plans to ensure smooth deployment and stable operation. After launch, continuously monitor system performance, promptly address potential failures and issues, guarantee uninterrupted service delivery to users, and ensure business continuity.
4. Collaborate closely with data scientists, algorithm engineers, development engineers, etc., to gain a deep understanding of business requirements and data characteristics. Assist team members in resolving technical challenges encountered during project development, providing architectural guidance and support. Ensure seamless integration of deliverables from various teams into the overall AI architecture, fostering an efficient collaborative work model and jointly driving the successful implementation of AI projects.
5. Organize technical training and knowledge-sharing sessions. Disseminate advanced AI architecture design concepts, technical knowledge, and practical experience to team members. Enhance the team's overall technical proficiency and architectural awareness, cultivate a positive technical culture, and promote individual growth alongside the enhancement of the team's collective capabilities.
6. Complete other tasks assigned by leadership.
7. 负责AI系统的整体架构设计,包括但不限于数据处理架构、模型训练架构、推理架构等。从系统的可扩展性、稳定性、性能、安全性等多方面进行综合考量,确保架构能够满足未来产品转换需求并具备良好的前瞻性。
8. 制定技术路线图和架构演进规划,根据公司业务发展战略和AI技术发展趋势,明确不同阶段的架构目标和关键任务,指导团队有序开展架构优化和升级工作,使AI系统始终处于行业领先水平,为业务创新提供有力支撑。
9. 负责AI系统的部署和上线工作,制定详细的部署方案,确保系统的顺利部署和稳定运行。在系统上线后,持续关注系统的运行情况,及时处理可能出现的故障和问题,确保系统能够持续稳定地为用户提供服务,保障业务的连续性。
10. 与数据科学家、算法工程师、开发工程师等紧密合作,深入了解业务需求和数据特点,协助团队成员解决在项目开发过程中遇到的技术难题,提供架构层面的指导和支持,确保各团队的工作成果能够无缝集成到整体AI架构中,形成高效协同的工作模式,共同推动AI项目的顺利实施。
11. 组织技术培训和经验分享活动,向团队成员传授先进的AI架构设计理念、技术知识和实践经验,提升团队整体的技术水平和架构意识,营造良好的技术氛围,促进团队成员的个人成长和团队整体能力的提升。
12. 完成领导交办的其他任务。

Job Requirements:

1. Possesses a solid theoretical foundation in computer science, including data structures, algorithm design, operating systems, computer networks, and database principles. Proficiently applies these fundamentals to solve complex AI architecture problems, providing robust theoretical underpinnings for the efficient operation of AI systems.
2. Demonstrates extensive experience in system architecture design, capable of architecting scalable, high-performance, highly available, secure, and reliable AI systems from a macro perspective. Proficient in distributed system architecture design principles and methodologies. Masters key technologies such as microservices architecture, service discovery & registration, configuration centers, and API gateways. Able to design appropriate distributed AI system architectures based on business requirements, achieving horizontal scaling and high-concurrency processing capabilities.
3. Highly proficient in at least one mainstream programming language (e.g., Python, Java, C++). Exhibits strong coding practices and adherence to code standards, capable of writing high-quality, maintainable, and extensible code. Familiar with software development lifecycles and version control systems (e.g., Git). Skilled in utilizing agile development methodologies for project execution and team collaboration, ensuring efficient project delivery and quality assurance.
4. Boasts over 5 years of hands-on experience in the artificial intelligence field, with a minimum of 3 years in an AI Architect or related technical leadership role. Possesses substantial experience in designing, developing, and implementing large-scale AI projects. Capable of independently undertaking the architecture design and optimization of complex AI systems. Has successfully delivered multiple AI projects with significant industry impact. Possesses deep understanding and practical experience in applying AI technologies across diverse business scenarios.
5. Excellent communication and coordination skills. Fluent in all four English skills (listening, speaking, reading, writing), enabling the effective conduct of daily research and development work in English.
6. 具备扎实的计算机科学理论基础,包括数据结构、算法设计、操作系统、计算机网络、数据库原理等,能够熟练运用这些基础知识解决复杂的AI架构问题,为AI系统的高效运行提供坚实的理论支撑。
7. 具备丰富的系统架构设计经验,能够从宏观层面设计出可扩展、高性能、高可用、安全可靠的AI系统架构。熟悉分布式系统架构设计原则和方法,掌握微服务架构、服务发现与注册、配置中心、API网关等关键技术,能够根据业务需求设计出合理的分布式AI系统架构,实现系统的水平扩展和高并发处理能力。
8. 精通至少一种主流编程语言,如Python、Java、C++等,具备良好的编程习惯和代码规范意识,能够编写高质量、可维护、可扩展的代码。熟悉软件开发流程和版本控制工具(如Git),能够熟练运用敏捷开发方法进行项目开发和团队协作,确保项目的高效交付和质量保障。
9. 具备5年以上人工智能领域的实际工作经验,其中至少3年以上担任AI架构师或相关技术领导岗位的经验,具有丰富的大型AI项目架构设计、开发和实施经验,能够独立承担复杂AI系统的架构设计和优化工作,成功交付过多个具有行业影响力的AI项目,对AI技术在不同业务场景中的应用有深刻的理解和实践经验。
10. 具备优秀的沟通和协调能力,具备流利的英语听说读写能力,可使用英文开展日常科研工作。

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

Job Responsibilities

• Being able to understand from the big picture to detailed system implementation of big data and AI retrieval architecture.
• Be able to maneaouver in a very dynamic environment, requires effective communication and social skills.
• Being able to bridge and communicate across functional teams, locally and globally.
• Documentation drafting, including architecture, solution comparisons, etc.
• Have to be dynamically and highly skilled at conducting Proof of Concept systems design in a wide variety of functional domains.
• To conduct various testing for selection of proper libraries, frameworks
• To design and implement testing frameworks as guardrails for code delivery quality and behaviourial tests.
• Attending meetings with global teams to liaise and to provide support or systems diagnosis.

Requirements:

• Comprehensive knowledge in the systems domain
• Hands on Linux/Unix skills
• Hands on skills on cloud architecture (AWS, Azure, GCP)
• DevOps skills (CI, CD, Jenkins, Kubernetes, Karpenter, CloudFormation, Terraform, IaC, EKS, GKE, SonarQube, etc.)
• Cloud networking design (L4/L7 load balancers and limitations, DR methodology, rate limiting, performance sizing, binpacking, cloud Kubernetes ingress types, Istio, etc.)
• Systems and code security (Hashing, deprecation and vulnerabilities, FIPS compliance, etc.)
• Hands on coding skills with strong fundamentals of computer science, data structures, software and coputer architecture (at least 3 languages in previous projects)
• Preferrably: C, Java, Go, Rust, Python
• Knowledge in performance web frameworks for microservices architecture (e.g. Fiber, Gin, Spring Boot, FastAPI, Enterprise J2EE)
• Knowledge in web serving technologies (e.g. Jetty, Tomcat, Uvicorn, Guvicorn, nginx, Apache HTTPD)
• Knowledge and exposure in ETL architectures and implementations (Flink, Spark streaming)
• Robust fundamentals in data architecture (Not only RDBMS, but columnar databases, search engines, ElasticSearch, Solr, ELK, Cassandra, HBase, Cloud-based Spanner, Aurora, DynamoDB, etc.)
• Strong fundamentals in maintaining clean code, styling, best practices, algorithmic performance, performance and crash-free robust software architectures.
• Poessession of cloud certification is highly advantageous

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you:

"We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical and Life Insurance: Coverage for Medical and life risk.

• Long-Service Award: Recognition for loyalty and dedication.

• Marriage and New Baby Gifts: Celebratory tokens for special life events.

• Festivals and Birthday Gifts: Spreading joy on occasions that matter.

• Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

• Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

• Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

• Family Care leave (Maternity/Paternity Leave and Adoption Leave)"

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

Our MNC client is looking for AI Architect for a new generation AI application project.

Benefit:

• 18 Day AL
• 13 Months Salary + Year End Bonus (At least 2 Month)
• Insurance + Medical Insurance

Responsibilities:

• Design and develop AI models including Machine Learning (ML) & Deep Learning (DL) to optimize daily operation
• Research and apply LLM and Gen-AI models for daily operation
• Responsible for conducting requirement studies, system analysis and evaluate the effectiveness of different models and techniques
• Work closely with Data Team for AI model development

Requirements:

• At least 8 years experience in programming and development in IT field
• Solid experience in developing and fine-tuning LLM
• Experience with Time-Series data, Computer Vision(CV) and Natural Language Processing (NLP) is an advantage
• Hands on coding in Python, TensorFlow, PyTorch, or Scikit-learn
• Well knowledge in Azure is an added advantage

Data Scientist / AI Architect

About the client

Our client is a reputable organization within the financial services with a diversify their portfolio across multiple locations and they are now seeking for a Data Science & AI Initiatives Lead to join the team

About the role

Reporting to the department head, you will oversee the delivery of innovative analytics and AI initiatives within the financial services domain. This position combines hands-on expertise in machine learning and analytical modeling with leadership in program management, ensuring that projects fulfill business needs and support organizational growth. Work closely with multidisciplinary teams to set project scope, objectives, and delivery targets for AI and data-related programs. Manage and coordinate several concurrent projects, keeping them aligned with the organization's strategy and completed on schedule and within scope. Working with different business stakeholders, you will develop clear action plans, track progress, and address risks to ensure successful outcomes across all AI and analytics efforts. Facilitate Agile practices, such as sprint planning and stand ups, while encouraging team collaboration and inclusion. Lastly, lead in designing and implementing advanced machine learning and data analytics approaches using varied data sources to improve decision-making and customer experience.

The successful applicants

• Bachelor's degree or higher in a relevant field, such as Computer Science, Data Science, or Statistics.
• At least 8 years' experience delivering data analytics or AI/ML projects, ideally in financial services.
• Advanced skills in machine learning, NLP, supervised and unsupervised modelling, and using languages such as Python or SAS.
• A strong ability to translate analytics into practical business improvements.
• Experience in Agile environments and working within collaborative teams.
• High sense of initiative and a continuous improvement mind set to drive innovation and service excellence
• Excellent communication in English and Chinese with skill in sharing technical concepts across audiences

Click "Apply Now" to apply for this position or call Karen Cheng at for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub.

*Summary *
As a Consulting Enterprise Solution Architect in the Lenovo Solutions Services Group (SSG) in Hybrid AI team, you will be a driving force behind the conception, design, and implementation of new generative AI products, solutions for AI offerings. Your expertise will be instrumental in translating business requirements from and for customers into innovative solution designs that extend, deepen, and elevate the Lenovo AI portfolio. From inception to productization, your design expertise will bring best practices and best-of-breed tools into play to precisely meet customer needs.

Leading from design to delivery, you'll spearhead our managed services offerings based on generative AI capabilities and emerging innovations. Deploying hybrid large language models (LLMs) and interactive AI capabilities on hybrid cloud infrastructure will be a significant part of the implemented designs. You'll work cross-functionally to architect and deliver innovative solutions, enabling customers to integrate generative AI solutions within their day-to-day operations seamlessly.

• This role is both internal and external includes some customer-facing work.

*In This Role, You Will: *

• Collaboratively design, develop and implement generative AI solutions across teams agilely, tailored to customer needs and requirements.
• Architect services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility.
• Design, develop, and optimize AI workload deployment and delivery across on-premise, hybrid, and multi-cloud environments, guaranteeing seamless operation and data integrity.
• Continuously enhance and support architectures focusing on scalability, reliability, performance, cost-efficiency, and regulatory compliance, ensuring our solutions remain at the forefront of industry standards.
• Develop robust frameworks, templates, and governance models to accelerate the hybrid AI solution and service development and shorten AI product cycles, ensuring timely delivery and market relevance.
• Drive and develop automation and orchestration of managed offerings across hybrid infrastructure, ensuring high efficiency and resource optimization.
• Champion security, compliance, responsible AI, and cloud best practices, fostering a culture of excellence and ethical conduct in all our technological endeavors.

*Qualifications: *

• BS/MS in Computer Science, Software Engineering, or related fields, demonstrating a solid academic background in relevant domains.
• 7 or more years of relevant experience in design AI enterprise solutions or services
• 5+ years of experience architecting and delivering SaaS solutions leveraging public cloud and on-premises environments, demonstrating a deep understanding of the technical and operational challenges.
• Proficiency in Python and a strong understanding of deep learning frameworks like Tensorflow or Pytorch, showcasing your ability to work with cutting-edge AI technologies.
• Proficiency with containers, Kubernetes, serverless technologies, and DevOps practices across hybrid cloud environments, ensuring the robustness and resilience of our solutions.
• Strong understanding of Machine Learning fundamentals, including neural networks, reinforcement learning, and generative models, demonstrating your solid foundation in AI technologies.
• Strong grasp of NLP key concepts, including tokenization, word embedment, and language models, enabling you to work on complex, text-driven AI solutions.
• Familiarity with deep learning architectures such as CNNs, RNNs, and GANs, showcasing your broad knowledge of AI architectures.
• Experience with architecting services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility.
• Exceptional technical leadership and communication skills, demonstrating your ability to lead teams and projects successfully.
• A passion for continuous learning in this emergent and evolving field, showcasing your commitment to staying updated and bringing fresh ideas to the table.
• Certifications in AI and Machine Learning like TensorFlow Developer Certificate or NVIDIA Certified AI Developer

*Preferred Skills: *

• Advanced knowledge in AI and ML frameworks and libraries beyond basic proficiency, including experience with additional frameworks like Keras or libraries like sci-kit-learn.
• Market experience in one or more of the following: financial services, telecommunications, industrial manufacturing, energy, consumer products, high-tech, media entertainment, and automotive
• Understanding of the relationship between various open-source software and hardware components
• Experience working across various cloud platforms (AWS, Azure, GCP) and understanding the nuances and advantages of each in hybrid cloud setups.
• Deep understanding of security best practices, data privacy laws, and compliance requirements in cloud and AI environments, possibly supported by certifications like Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM).
• Demonstrated ability to articulate technical issues, resolutions, and recommendations for customers, development teams, and leadership.
• Experience working in a customer-facing IaaS and PaaS environment preferred.
• TOGAF 9 Certified, TOGAF Business Architecture preferred.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
WD

*Summary *
As a Consulting Enterprise Solution Architect in the Lenovo Solutions Services Group (SSG) in Hybrid AI team, you will be a driving force behind the conception, design, and implementation of new generative AI products, solutions for AI offerings. Your expertise will be instrumental in translating business requirements from and for customers into innovative solution designs that extend, deepen, and elevate the Lenovo AI portfolio. From inception to productization, your design expertise will bring best practices and best-of-breed tools into play to precisely meet customer needs.

Leading from design to delivery, you'll spearhead our managed services offerings based on generative AI capabilities and emerging innovations. Deploying hybrid large language models (LLMs) and interactive AI capabilities on hybrid cloud infrastructure will be a significant part of the implemented designs. You'll work cross-functionally to architect and deliver innovative solutions, enabling customers to integrate generative AI solutions within their day-to-day operations seamlessly.

• This role is both internal and external includes some customer-facing work.

*In This Role, You Will: *

• Collaboratively design, develop and implement generative AI solutions across teams agilely, tailored to customer needs and requirements.
• Architect services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility.
• Design, develop, and optimize AI workload deployment and delivery across on-premise, hybrid, and multi-cloud environments, guaranteeing seamless operation and data integrity.
• Continuously enhance and support architectures focusing on scalability, reliability, performance, cost-efficiency, and regulatory compliance, ensuring our solutions remain at the forefront of industry standards.
• Develop robust frameworks, templates, and governance models to accelerate the hybrid AI solution and service development and shorten AI product cycles, ensuring timely delivery and market relevance.
• Drive and develop automation and orchestration of managed offerings across hybrid infrastructure, ensuring high efficiency and resource optimization.
• Champion security, compliance, responsible AI, and cloud best practices, fostering a culture of excellence and ethical conduct in all our technological endeavors.

*Qualifications: *

• BS/MS in Computer Science, Software Engineering, or related fields, demonstrating a solid academic background in relevant domains.
• 7 or more years of relevant experience in design AI enterprise solutions or services
• 5+ years of experience architecting and delivering SaaS solutions leveraging public cloud and on-premises environments, demonstrating a deep understanding of the technical and operational challenges.
• Proficiency in Python and a strong understanding of deep learning frameworks like Tensorflow or Pytorch, showcasing your ability to work with cutting-edge AI technologies.
• Proficiency with containers, Kubernetes, serverless technologies, and DevOps practices across hybrid cloud environments, ensuring the robustness and resilience of our solutions.
• Strong understanding of Machine Learning fundamentals, including neural networks, reinforcement learning, and generative models, demonstrating your solid foundation in AI technologies.
• Strong grasp of NLP key concepts, including tokenization, word embedment, and language models, enabling you to work on complex, text-driven AI solutions.
• Familiarity with deep learning architectures such as CNNs, RNNs, and GANs, showcasing your broad knowledge of AI architectures.
• Experience with architecting services leveraging and integrating frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility.
• Exceptional technical leadership and communication skills, demonstrating your ability to lead teams and projects successfully.
• A passion for continuous learning in this emergent and evolving field, showcasing your commitment to staying updated and bringing fresh ideas to the table.
• Certifications in AI and Machine Learning like TensorFlow Developer Certificate or NVIDIA Certified AI Developer

*Preferred Skills: *

• Advanced knowledge in AI and ML frameworks and libraries beyond basic proficiency, including experience with additional frameworks like Keras or libraries like sci-kit-learn.
• Market experience in one or more of the following: financial services, telecommunications, industrial manufacturing, energy, consumer products, high-tech, media entertainment, and automotive
• Understanding of the relationship between various open-source software and hardware components
• Experience working across various cloud platforms (AWS, Azure, GCP) and understanding the nuances and advantages of each in hybrid cloud setups.
• Deep understanding of security best practices, data privacy laws, and compliance requirements in cloud and AI environments, possibly supported by certifications like Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM).
• Demonstrated ability to articulate technical issues, resolutions, and recommendations for customers, development teams, and leadership.
• Experience working in a customer-facing IaaS and PaaS environment preferred.
• TOGAF 9 Certified, TOGAF Business Architecture preferred.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

In Hong Kong - Hong Kong

Looking for an innovative, agile work environment where you can have an impact on big-name companies and startups? Join Simon Kucher's service line for digital consulting projects "Elevate".

Be part of a dynamic team delivering digital growth by combining specialist knowledge in tech and data with creativity to deliver end-to-end projects with proven impact across industries.

Help businesses make informed decisions and drive growth by transforming raw data into actionable insights. Ready to boost your personal development in data science, analytics, and AI? Become a pioneer of the digital transformation and support us as a Data Science Consultant.

What makes us special:

• Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.
• Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.
• Enjoy balance and flexible working. Be empowered to do your best work – whether it's remotely or in the office.
• Prioritize your health and wellbeing. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.
• Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

How you will create an impact:

• Work on solving interesting problems for clients in the space of commercial excellence, i.e., pricing, sales and go to market, or all activities related to growth topics
• Work across different industries, e.g., B2B, B2C, software, life sciences etc. in solving client's commercial problem
• Work with data, leveraging tools like Excel, Tableau, Power BI etc. to conduct deep and meaningful analyses. Draw insights to solve client's problems and give recommendations
• End-to-end ownership of workstreams within projects, which entails collecting data, conducting deep analysis, drawing insights, creating slides & engaging with stakeholders
• Contribute to the development of the Hong Kong office

Your profile:

• Degree in Computer Science, Statistics or related field would be ideal
• Experience with Python, SQL, GIT/Jira, Unix/Linux, Cloud Platforms (AWS/Azure) would be ideal
• Strong expertise in Business Analytics Modelling, BI/ Visualization Analytics (Power BI/Tableau), Business Analytics in R, Statistics with Python, Marketing Analytics
• Quick learner, inquisitive by nature, ability to learn independently
• Clear communication of highly technical material to general audience would be ideal
• A unique blend of Data Science technical understanding, deep industry expertise, and consulting experience would be most desirable
• Willingness and ability to work as part of a team

If you're interested, and if you'd like to offer your skills and commitment to our international team, then we would be pleased to receive your application.

Hit the 'Apply Now' button to begin your application

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30 countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world's leading pricing and growth specialist. simon- We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.

Your personal contact:

Melanie Weller

Melanie.-

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role
The candidate will be a passionate and forward-thinking GenAI Data Scientist to support company's key business initiatives and projects. S/he will be responsible for curating and developing technical capabilities for the Data Science Team, from gatekeeping the choice of technologies to the implementation of technical solutions.

The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. We expect the candidate to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. We expect the candidate to be a hands-on thought leader, capable of both high-level strategic thinking as well as hands on ability to execute.

Roles And Responsibilities
Functional Duties (80%)

• Design and implement data and AI models to support use cases for various business functions.
• Promote re-use and cross business function awareness of best practices, challenges, etc.
• Build and launch excellent productionalized, low-maintenance models and AI solutions.
• Explore and leverage state of the art AI/ML techniques for a variety of problems at the intersection of AI/ML.
• Develop, maintain and enhance AI/ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
• Partner with architecture team, application teams and data analytics platform team to streamline our systems architecture, tech stack, and internal framework to support a central analytics function.
• Lead efforts to select and implement the AI and analytics technologies required to support AIA HK business initiatives.
• Drive technology investments that utilize AI and analytics as strategic tool.
• Define the most important growth metrics that track the business's performance across different functions and utilize those to affect change.
• Partner with stakeholders within the organization to identify and execute on analytical needs/gaps.
• Experience developing and deploying AI/ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Promote and educate responsible use of AI to all stakeholders in the organization

People Management Duties (20%)

• Direct activities of a team of data scientist and analysts, and project team members.
• Identify, train and develop potential data scientists.
• Implement staff management activities to align with company directive.

Job Requirements

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
• 10+ years of relevant experience, at least 1 year in GenAI
• Excellent analytical capability and understanding of various AI and analytical techniques
• Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
• Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
• Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
• A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
• Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
• Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
• Ability to proactively identify gap and address AI and data analytics related issues
• Ability to learn and adapt quickly to new business domains and technologies.
• Ability to conceptualize and articulate ideas clearly and concisely.
• Hands-on experience with modern enterprise data architecture and data science toolkits.
• Sound problem solving and decision-making ability
• Proven ability to identify innovation opportunities, define and deliver innovative business function
• Ability to work independently and with team members from different backgrounds
• Sound business knowledge in insurance industry
• Excellent communication, presentation, consultative and interpersonal skills

Others

• You are required to obtain relevant license if your job involves in regulated activities

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.