{"id":3523561,"url":"https://alion.io/job/aia-group-manager-ai","title":"Manager, AI","company":{"id":5838,"name":"AIA Group","domain":"aia.com","url":"https://alion.io/company/aia","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":222,"ghost_share":0.005,"stale_share":0.941,"repost_share":0.005,"time_to_fill_p50_days":31,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Management","role_family":"Management","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":54000,"period":"year","method":null,"sample_n":19148},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Dify","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"AWS","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T17:46:48Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Are you ready to shape a better tomorrow?\nAIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.\nIf you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.\nIf you want to shape a brighter future at AIA Digital+, please read on.\nAbout the Role\nEngineering Team Lead to own the development, maintenance, and continuous evolution of our business applications Hong Kong Business Unit. This is a hands-on technical leadership role: you will lead a small engineering team while personally contributing across the full stack - from back-end services and databases through to front-end interfaces and cloud infrastructure.What sets this role apart is our commitment to AI-native engineering: we expect the team to leverage large language models, code-generation assistants, and intelligent automation to accelerate delivery, and improve security & quality. At the same time, we operate in a highly regulated environment. The ideal candidate knows how to harness AI for speed without sacrificing governance, accountability, or compliance - and can embed appropriate guardrails (human-in-the-loop reviews, explainability, audit trails, bias monitoring) into everything the team builds.\nTechnical Leadership & People Management\nLead and mentor a small engineering team (3-6 engineers), setting technical direction, conducting code reviews, and fostering a culture of ownership and continuous improvement.\nPlan sprints, allocate work, track delivery milestones, and report progress to stakeholders.\nManage delivery progress, dependencies, and risks. \nChampion AI-assisted development Tools (e.g., GitHub Copilot, Dify.ai) while establishing clear guardrails for when and how AI-generated code is reviewed, tested, and approved.\nFull-Stack Development\nPartner with business application SMEs (Buy, Service, Claim, Customer Engagement, Collection & Payment, Reporting) to translate insurance-domain requirements into technical solutions.\nBack-end: Design, build, and maintain RESTful APIs and microservices primarily in Java (Spring Boot) and Python (FastAPI / Flask).\nFront-end: Develop responsive, maintainable browser-based interfaces using JavaScript / TypeScript with modern frameworks (React/Vue).\nData layer: Write complex SQL queries, manage schema migrations, optimise query performance, and work with relational databases (PostgreSQL, Oracle, or SQL Server).\nAI/ML integration: Embed AI capabilities - LLM-powered features, retrieval-augmented generation (RAG) pipelines, intelligent document processing, underwriting decision-support tools - directly into business applications.\nMaintain comprehensive documentation (architecture decision records, API specs, runbooks).\nCloud & DevOps/AIOps\nArchitect, deploy, and operate applications on cloud infrastructure (Azure or AliCloud), favouring managed services wherever practical (e.g., RDS/Aurora, ECS/EKS, Lambda/Cloud Functions, managed API gateways, managed AI/ML services).\nOwn the CI/CD pipeline (BitBucket), and containerization (Kubernetes).\nManage environments (dev, staging, prod) and capacity planning.\nBuild a career with us as we help our customers and the community live healthier, longer, better lives.\nYou must provide all requested information, including Personal Data, to be considered for this career opportunity. 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