Description
Innovate and shape what comes next at AIA, a leading organisation helping millions of people live Healthier, Longer, Better Lives.
We are seeking an experienced AI Solutions Architect to lead the design, delivery, and adoption of AI-powered solutions and digital platforms for our Agency business.
Key Responsibilities:
- Lead end-to-end solution design and implementation of AI-powered solutions, including GenAI, intelligent automation, mobile applications, and web portals.
- Develop and implement LLM-powered applications and agentic workflows using tool/function calling, structured outputs, state, memory, routing, and human-in-the-loop controls.
- Build production RAG solutions covering ingestion, chunking, embeddings, vector/hybrid retrieval, metadata filtering, reranking, grounding, and traceability.
- Ensure seamless interoperability across AI solutions with existing platforms, workflow engines, and digital channels.
- Convert prototypes into secure, scalable, and maintainable production services.
- Establish sound software engineering practices for Python/backend services, APIs, automated testing, error handling, resilience, and release management.
- Define measurable acceptance criteria and evaluation datasets.
- Implement end-to-end tracing, structured logging, and metrics for prompts, retrieval, agent/tool execution, failures, token usage, and model performance.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Engineering, or a related discipline.
- Minimum 8 years of relevant experience in software engineering, solution architecture, digital platform delivery, or technology consulting.
- Proven track record in designing, building, and delivering complex enterprise-scale production systems end-to-end.
- Practical experience delivering Generative AI solutions, including LLM applications, Retrieval-Augmented Generation (RAG), AI Agents, workflow orchestration, tool/function calling, multi-agent solutions, and enterprise system integration.
- Strong understanding of software engineering best practices, microservices architecture, RESTful API design, cloud-native development, and enterprise integration patterns.
- Strong experience operating within enterprise governance, security, risk, and compliance frameworks.
Nice to Have:
- Knowledge of the insurance industry, including digital customer servicing, agency platforms, underwriting, policy administration, claims, or distribution ecosystems.
- Strong experience with Microsoft Azure cloud services and AI capabilities.
What We Offer:
- Opportunity to work on cutting-edge AI projects and contribute to the company's purpose of helping millions of people live Healthier, Longer, Better Lives.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.