Description

• 7+ years AI/ML, software, cloud, data engineering or architecture experience.
• 2+ years production experience with GenAI, LLM, RAG, AI Agents or AI operations.
• Build secure AI solutions for Federal/DOL agencies from discovery through production.
• Strong Python, APIs, data pipelines, cloud, MLOps/LLMOps.
• Experience with LLM integration, RAG, NLP, document intelligence, agents/MCP.
• AI evaluation, security/adversarial testing, Responsible AI and compliance.
• Federal/regulated environment experience strongly preferred.
• Relevant AI/ML certification required.

Preferred qualifications

• Direct experience in federal civilian agencies, especially systems involving PII, CUI, public-facing digital services, grants, enforcement, benefits, claims, or case-management operations.
• Experience with AWS, Azure AI Foundry, Google Vertex AI, AWS Bedrock, GitHub Copilot/VS Code, GitLab, JIRA, and Government-controlled CI/CD pipelines.
• Experience with accessibility-by-design and delivery of systems meeting Section 508/WCAG 2.1 A/AA.
• Experience supporting independent testing, red teaming, security assessment, and production ATO activities.

Required certification evidence

The candidate must hold and provide verifiable evidence of at least one relevant AI/ML credential, such as an Azure AI/Generative AI certification, AWS Generative AI or ML certification, Google Cloud Generative AI/ML credential, Databricks Generative AI Engineer credential, Snowflake data credential, NVIDIA generative AI credential, CAIP, or equivalent. Evidence must be supplied at onboarding and annually thereafter; self-attestation is not sufficient

Key Skills

Education

Any Graduate