AI Architect(AWS)

Position: AI Architect(AWS)
Location: Remote
Type: Fulltime preferred but C2C can work

Role Overview:
We are seeking a highly skilled AI Architect (AWS) to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud.

Key Responsibilities:
Define end-to-end AI architectures covering ingestion storage retrieval reasoning action monitoring.
Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.
Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
Lead PoCs to production with AWS-based templates and golden paths.
Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
Ensure seamless AWS enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:
5 10+ years in AI/ML software, 3 5+ years in solution/enterprise architecture.
Proven experience designing AI systems at enterprise scale on AWS.
Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.
Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
Strong multi-cloud cost/latency tradeoff knowledge.
Excellent communication, stakeholder engagement, and blueprinting skills.
Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).