Artificial Intelligence Engineer

• Windows and Linux experience (ideally Admin experience) and capable of configuring different coding tools in internal hosted Windows and Linux environments.
• Project management and communications skills to be able to manage different projects and communicate with different parties, with the client, for supporting the operation and roll-out of a variety of coding assistant tools.
• Familiarity with some of the existing coding assistant tools (e.g., Claude Code, Cline, Codex)., The AI Coding Tools Engineer (GenAI & Agentic Systems) evaluates, pilots, operationalizes, maintains, and scales adoption of secure AI coding assistant tools across the enterprise., AI Coding Assistant Evaluation
• Conduct structured evaluations of leading enterprise AI coding assistants, including features, model performance, security, integration complexity, and developer ergonomics.

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.

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.

• Minimum 2 years of experience with leading AI Coding Assistants.
• Minimum 3-5 years of experience in software engineering, developer experience engineering, platform engineering, or related roles.
• 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., * 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.