Coding Tools Engineer (Sr. AI Full-Stack Engineer with Coding Tools [Claude Code, Codex] and agentic AI

1. AI Coding Assistant Evaluation

• Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.

1. 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.

1. AI Coding Assistant Operations & Maintenance Support

• Monitor platform health and guardrail performance.

• Support analysis and remediation of integration or platform issues impacting the coding assistants.

• Track, evaluate, and support application of coding assistant updates and patches.

We’re hiring! Candidates who are authorized to work in the U.S. without sponsorship are encouraged to apply. Candidates must also be eligible to obtain a Public Trust clearance., * Minimum 2 years of hands-on experience with leading AI Coding Assistants (e.g., Claude Code, Codex, Cursor, Cline).

• Minimum 3-5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles, with at least 2 years of focused AI product/automation development.

• Experience integrating or evaluating LLM powered developer tools (e.g., code completion, chat based programming assistance, test generation, refactoring tools).

• Understanding of NIST compliance and government cloud environments.

• Familiarity with enterprise DevSecOps practices, modern IDEs, and secure software development lifecycles.

PREFERRED QUALIFICATIONS:

• 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 guardrails and building RAG/semantic search systems.

• Experience supporting ATO artifacts and design/testing of controls.