Role overview
The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise.
*Key Responsibilities
- AI Coding Assistant Evaluation**
- Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.
2. AI Coding Assistant Piloting, Launching & Adoption Support
- Integrate coding assistants into IDEs (VS Code), terminals/CLI workflows, and source‑control ecosystems.
- Configure AI guardrails, including content filtering, prompt‑shielding, and role‑based access controls aligned with enterprise and NIST requirements
- Work with Security Team to prepare ATO evidence, including SSP updates, control narratives, risk registers, and continuous‑monitoring artifacts.
- Work with Training and Enablement Team to develop training, compliance, and end-user/best‑practice guides.
- Support Coding Assistant “office hours” to support developer enablement and accelerate adoption.
- Collect user feedback, track adoption metrics, and iteratively refine usage patterns for different developer roles.
What we're looking for
- Direct experience leading enterprise adoption of AI coding assistants (pilot design, rollout planning, governance alignment).
- Hands‑on experience with Amazon Bedrock GovCloud, Azure OpenAI (Gov), and/or Vertex AI (Assured Workloads) for production workloads.
- Experience building multi‑step agent workflows on Bedrock Agents, implementing Bedrock Guardrails, or building RAG/semantic‑search systems via Vertex AI Search.
- Experience supporting ATO artifacts and design/testing of controls.
Tags & focus areas
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