Senior AI/ML Engineer - Forward Deployed Engineer

Digital Links Inc
Washington, DC, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

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
+16 more
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

Requirements

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.

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