AI Coding Tools 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:

• 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.

Required Qualifications

• Minimum 2 years of experience with leading AI Coding Assistants.
• Minimum 35 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.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.