Description

You own the technical design of generative AI solutions on Amazon Bedrock and the broader AWS AI stack.

This role is on-site.

Responsibilities

• Define secure, repeatable AI reference architectures using Amazon Bedrock, Amazon Q Business, and Amazon QuickSight.
• Design generative AI patterns including foundation model selection, prompt engineering, RAG pipelines, agentic workflows, and tool calling.
• Establish secure AI foundations covering identity, IAM, encryption, logging, data-boundary controls, and audit patterns.
• Define guardrails, content filtering, prompt-logging policies, and responsible-AI controls for data classification and PHI/PII handling.
• Lead architecture and security review workshops, demos, and enablement sessions to upskill customer engineering teams.

Required Skills

• 10+ years of experience with significant recent work in AI/ML and cloud architecture.
• Hands-on experience designing and delivering generative AI solutions on Amazon Bedrock or comparable foundation-model platforms.
• Deep understanding of LLM application patterns: RAG, agents, prompt engineering, grounding/citation, and model evaluation.
• Solid grounding in the broader AWS stack, including IAM, networking, storage, encryption, and security fundamentals.
• Experience defining guardrails, evaluation frameworks, and responsible-AI / governance controls.
• Proven ability to operate as a technical lead across a small delivery team and enable customer teams through paired delivery.
• Familiarity with spec-driven development workflows and MCP (Model Context Protocol) based tooling.

Preferred Skills

• Experience delivering AI solutions in regulated or public-sector/government environments.
• Background in MLOps, CI/CD, or infrastructure-as-code on AWS.

Key Skills

Education

Any Graduate