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Ampcus Inc
AI

Generative AI Engineer

Ampcus Inc · Chantilly, VA

Actively hiring Posted 3 months ago

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.

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Fulltime Ai Ai Engineer Generative Ai
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