{"id":3793823,"url":"https://alion.io/job/sun-life-ai-technical-lead","title":"AI Technical Lead","company":{"id":1049263,"name":"Sun Life","domain":"sunlife.ca","url":"https://alion.io/company/sunlife-ca","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":34,"ghost_share":0,"stale_share":0.353,"repost_share":0.147,"time_to_fill_p50_days":17,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"n8n","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-11-05T08:14:26Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T12:17:21Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.\nAt Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.\nWhen you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.\nDiscover how you can make a difference in the lives of individuals, families and communities around the world.\nJob Description:\nThe AI Tech Lead provides expert technical leadership to design, build, and operationalize AI solutions that drive measurable business value. The role owns end-to-end delivery of AI initiatives and ensures seamless coordination between product, engineering, and cross-functional teams.\nKey responsibilities\nLead and give technical direction, and best practices across GenAI and ML solutions.\nOwn end-to-end delivery-from design and prototyping to production deployment and optimization.\nEnsure solution quality, security, reliability, and compliance with enterprise standards.\nCollaborate effectively with product owners and application teams to align requirements and manage dependencies.\nChampion technical clarity and communication.\nPreferred skills\nHands-on experience in Python and Java\nFamiliarity with REST APIs and frameworks such as FastAPI, Flask, or similar technologies\nExperience with LLM frameworks including LangChain, LangGraph, and n8n.\nKnowledge of databases such as PostgreSQL and Cosmos DB\nPractical experience with AWS cloud services, especially SageMaker and Bedrock\nStrong knowledge of containerization and orchestration tools such as Docker, Kubernetes\nQualifications\nUniversity graduate, preferably in IT, Computer Science or related disciplines\nOver 8 years of working experience\nAt least 2 years of relevant experience in AI engineering\nPractical experience with AI/MLOps practices in enterprise environments\nProficiency in both spoken and written English and Chinese\nResponsibilities\nTechnical Leadership:\nDefines and enforces technical standards, patterns, and best practices across the AI stack\nEnsures alignment with enterprise architecture, security policies, and regulatory requirements.\nEnsures alignment with enterprise architecture, security policies, and regulatory requirements.\nServes as the SME (Subject Matter Expert) for AI/ML, GenAI, and supporting technologies within the team.\nProvides hands-on guidance in design reviews and code reviews.\nDelivery Ownership (Accountability: End-to-End Delivery & Solution Success):\nAccountable for delivering AI solutions that meet business objectives, not just technical completion.\nOwns the delivery lifecycle-discovery, prototyping, model training/selection, development, integration, testing, deployment, and production.\nLeads backlog technical grooming; estimates complexity, breaks down work, and directs the engineering execution plan.\nIdentify potential risks related to technology initiatives and create mitigation strategies\nKnowledge Management:\nOversee the creation and maintenance of technical documentation\nMaintain an active knowledge base for digital solutions and AI related material and system documents\nGather user feedback for future improvements\nAt Sun Life, we’re driven by our Purpose: to help Clients build lifetime financial security and lead healthier lives. Across Asia, we cultivate a High-Performance, Caring Culture that empowers our people to achieve outstanding results, embrace continuous growth, and create meaningful impact. 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