Generative AI Engineer

Job Description: 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 Responsibilities1. 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.3. 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.Required Qualifications • 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.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 Bedrock Guardrails, or building RAG/semantic‑search systems via Vertex AI Search. • Experience supporting ATO artifacts and design/testing of controls.