{"id":525182,"url":"https://alion.io/job/aia-group-ai-solution-analyst","title":"AI Solution, Analyst","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":224,"ghost_share":0.004,"stale_share":0.946,"repost_share":0.004,"time_to_fill_p50_days":31,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","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":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":110000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenShift","optional":true},{"name":"Redis","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-08T04:45:57Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-30T10:37:51Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.\nAs 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.\nTo 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.\nIf you believe in developing a better tomorrow, read on.\nAbout the Role\nTo support AIA’s mission of helping customers live healthier, longer, and better lives, the AI Solution Analyst will support the organisation’s Technology, Data and Analytics (TDA) transformation by contributing to the design, implementation, and adoption of AI-enabled solutions. The role will work closely with business and technology teams to understand business requirements, assist in solution design activities, and help translate business needs into practical and scalable technology solutions.The role will assist in evaluating AI use cases, conducting research, supporting proof-of-concept activities, and helping ensure solutions align with enterprise architecture standards, security requirements, and governance guidelines.\nThe AI Solution Analyst will also participate in solution review and governance processes by preparing documentation, tracking actions, and coordinating with relevant stakeholders. Working under the guidance of senior team members, the role will help identify risks, support issue resolution, and contribute to compliance with organisational policies and regulatory requirements.\nBeyond project delivery, the role will support knowledge-sharing initiatives, maintain project and solution repositories, and contribute to continuous improvement efforts. Through collaboration with cross-functional teams, ongoing learning, and a strong focus on stakeholder engagement, the AI Solution Analyst will help drive the successful delivery and adoption of AI solutions across the organisation.\nCustomer Centricity - This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society. The role holder is expected to embed a customer first mindset in all decisions and actions by developing a clear understanding of customer needs, taking end to end ownership to resolve issues, and working collaboratively across teams to continuously enhance the customer journey-both directly and indirectly.\nRoles and Responsibilities:\nStrategic AI Leadership & Innovation (30%)\nSupport the delivery of AI initiatives by researching emerging AI technologies, industry trends, and business use cases that may enhance operational efficiency and customer experience.\nContribute to AI program and roadmap activities by gathering requirements, documenting opportunities, and assisting with the planning and tracking of AI-related projects.\nAssist in AI solution assessment and experimentation, supporting prototyping, testing, and feasibility studies under the guidance of senior team members and subject matter experts.\nCollaborate with business and technology stakeholders to understand user needs, collect feedback, and help ensure AI solutions align with business objectives and operational requirements.\nPromote awareness and adoption of AI capabilities by supporting knowledge-sharing activities, preparing presentations or materials, and communicating project outcomes to relevant stakeholders.\nContinuously build AI and digital skills by staying informed of new technologies, best practices, and organisational standards, applying learning to support ongoing AI initiatives.\nAI Solution Design, Research & Applied Innovation (30%)\nSupport the design and implementation of AI solutions by assisting with requirements gathering, data analysis, solution documentation, and testing activities to address business needs.\nConduct research on AI, machine learning, and generative AI technologies, summarising findings and identifying potential applications to improve business processes and customer experiences.\n Assist in proof-of-concept (POC) and prototyping activities, helping to validate solution feasibility, assess business value, and gather stakeholder feedback.\nContribute to innovation initiatives by exploring new tools, techniques, and best practices, and sharing insights with team members to support continuous improvement.\nSupport solution testing, validation, and deployment activities, ensuring deliverables meet business requirements and established quality standards.\nDevelop practical AI and analytical skills through hands-on project experience, training, and continuous learning, applying new knowledge to support ongoing AI initiatives.\nGovernance, Compliance & Continuous Improvement (10%)\nSupport AI governance and compliance activities by following established standards, policies, and procedures related to enterprise architecture, data privacy, security, and responsible AI practices.\nAssist in identifying and tracking project risks, issues, and dependencies, maintaining risk logs and escalating potential concerns to project and program leads when required.\nCoordinate solution review and approval activities, preparing required documentation and working with relevant stakeholders to support governance and compliance processes.\nCreate and maintain project and solution documentation, including meeting notes, process flows, architecture artifacts, decision logs, and knowledge repositories.\nSupport stakeholder communication efforts by preparing status updates, tracking action items, and facilitating information sharing across business, technology, and governance teams.\nContribute to knowledge management and continuous improvement initiatives by documenting lessons learned, sharing best practices, and promoting reuse of existing AI solutions, templates, and delivery assets.\nBusiness Communication, Stakeholder Alignment & Change Management (25%)\nAct as a strategic bridge between business and technology, translating business vision into AI solution strategies and executable architecture designs.\nCommunicate complex AI concepts, solution architectures, and trade-offs clearly to senior stakeholders and governance forums.\nStrategic Collaboration & Organisational Influence (5%)\nCollaborate with senior stakeholders and cross-functional teams to ensure AI initiatives are aligned with enterprise strategy and business priorities.\nInfluence long-term technology direction and drive adoption of AI capabilities across AIA Group.\nAct as a thought leader in AI and digital transformation, shaping innovation agendas and elevating engineering and solution design maturity across the organisation.\nDemonstrates strong ownership of outcomes by proactively identifying risks, driving issue resolution, and ensuring delivery commitments are met with high quality and timeliness.\nMinimum Job Requirements:\nBachelor’s degree or higher in computer science, engineering, science, or related fields, or equivalent in experience and evidence of exceptional ability.\nRelevant experience in AI projects\nCustomer focus.\nGood team player.\nStrong communication skills in English, Mandarin, or Cantonese.\nPreferred Qualifications\nKnowledge/experience in generative AI such as large language models and image generators is a strong plus.\nExperience in DevOps, ML Ops and LLM Ops.\nExperience in distributed system tools, such as Docker, Kubernetes, OpenShift, Redis, Kafka, etc.\nExperience in Agile/Scrum software development process.\nOthers:\nYou are required to acquire the relevant license(s) if your job involves regulated activities\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. Failure to provide such information may influence the processing and outcome of your application. 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