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 Responsibilities

1. 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.