Description
Innovate and shape what comes next at AIA. As an AI Architecture Specialist, you will support the design, build, and implementation of AI solutions across AI, digital, data, and cloud environments.
Responsibilities:
- Support the design and implementation of AI and GenAI solutions for enterprise use cases
- Build and prototype AI/GenAI solutions hands-on, including proof-of-concepts using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, APIs, vector databases, and cloud AI services
- Support the development of enterprise AI platforms and reusable architecture components
- Work with data scientists, AI/ML engineers, software engineers, and application teams to integrate AI models and GenAI services into enterprise applications and production environments
- Assist in designing data ingestion and processing pipelines required for AI solutions
- Perform technical evaluation and experimentation on AI technologies, models, frameworks, and platforms
- Support AI solution architecture assessments and reviews
- Develop and maintain architecture documentation
- Support troubleshooting and optimization of AI solutions
- Apply responsible AI, security, privacy, and regulatory requirements throughout solution design and implementation
- Contribute to AI architecture standards and best practices
- Continuously explore emerging AI technologies through hands-on experimentation
Requirements:
- Educated to degree level standard or above in information technology, computer science, engineering, or relevant field
- 4+ years in an architect / engineer / specialist role ideally with insurance and/or health provider industry experiences
- 2+ years of hands-on experience in AI architecture design and implementation for large-scale enterprise AI solutions
- Experience influencing solution direction and standard adoption using architecture capability, building blocks, strategies and roadmaps
- Experience work in complex IT environments, and able to prioritize and plan complex work in a rapidly changing context
- Team player with experience leading and collaborating cross-team to ensure successful delivery of solutions
- Experience with LLM integration, prompt engineering, and AI model governance
- Familiarity with insurance-specific GenAI applications
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