Senior AI/ML Engineer – Forward Deployed Engineer

Snowrelic Inc
Washington, District of Columbia, United StatesFull-timePosted Sep 17, 2026

About the role

Senior AI/ML Engineer Forward Deployed Engineer

Location: Washington, DC Hybrid (3 days onsite)

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.

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.

Responsibilities

  • Build secure AI solutions for Federal/DOL agencies from discovery through production
  • Integrate LLM, RAG, NLP, and document intelligence
  • Conduct AI evaluation, security/adversarial testing, and ensure Responsible AI compliance

Qualifications

  • 7+ years AI/ML, software, cloud, data engineering or architecture experience
  • 2+ years production experience with GenAI, LLM, RAG, AI Agents or AI operations
  • Hold at least one relevant AI/ML certification

Skills mentioned

PythonREST APIsData PipelinesCloud ComputingMLOpsLLMOpsGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI Agents

About Snowrelic Inc

Snowrelic Inc was founded by technology professionals with a vision to provide quality and cost-effective Modern IT solutions. As a IT Services and Solutions Company, Snowrelic can assist in bringing Technology Transformation and Modernization across Business Functions and Enterprises. Improving existing technology processes and platforms, Enterprise Digital Integration and Enablement, User Engagement through better Visualization and User Interface, Enterprise Mobility, Extensive Capability in Dynamic and Niche Technology areas. Snowrelic has extensive staff augmentation experience in IT, provides a variety of workforce solutions to meet the needs of its clients in support of Information Technology Vertical areas such as Engineering, Banking and Finance, Insurance, Healthcare, Technology, Oil & Gas, Energy & Utilities. Snowrelic’s Team works for world renowned companies to fulfill their Strategic Resourcing, Enterprise Applications, Application Development and Support, Product & Data Engineering, IoT, Artificial Engineer & Machine Learning, Cloud Migration - AWS, GCP, Azure, Snowflake, DevOps, EDW, BI & Big Data Analytics, Salesforce, Mobility - UI/UX Consulting Services, Responsive Web Solutions, Testing Services - Manual & Automation, Social Media Analytics and Outsourced Product Development needs. We work with our customers on Time and Material Engagements, Staff Augmentation, as well as SoW led Managed Services Models.

IT Services and IT Consulting11-50 employeesReston, Virginia