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# Senior AI/ML Engineer - Forward Deployed Engineer

- **Company:** Digital Links Inc
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, JIRA, Cloud Computing, Information Engineering, Fuzz Testing, Information Extraction, Python (Programming Language), Natural Language Processing, Visual Studio Online, Web Content Accessibility Guidelines, Google Cloud, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Snowflake, Google Vertex AI, Generative AI, Agentic-AI, Gitlab, AI Platforms, Machine Learning Operations, Azure AI, Data Pipelines, Databricks
- **Published:** November 3, 2026
- **Apply:** https://www.careerjet.com/jobad/us42253f667f030cd13eb19bbb16a6bf45

## About the Role

Security eligibility: US Citizen or Permanent Resident (no H1 or OPT) Must be eligible for and obtain DOL onboarding approval, NACI clearance, PIV, system access, mandatory training completion, and execution of DOL Rules of Behavior and NDA.
Note:
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.
Skills:

 * 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., * 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.