Senior AI/ML Engineer – Forward Deployed Engineer

Snowrelic Inc; Washington (District of Columbia); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Snowrelic Inc. in Washington, DC is seeking a Senior AI/ML Engineer, Forward Deployed Engineer, to design and deliver production-grade AI/ML solutions for federal agencies, with a focus on GenAI, LLMs, and secure, compliant architectures.

Hybrid role requiring US citizenship or permanent resident status and the ability to obtain DOL onboarding approval and security clearances; expects strong Python, data pipelines, cloud, and MLOps expertise across discovery to production.

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.
• 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.

Skills

AI/ML

Python

LLM

MLOps

APIs

Data Pipelines

Cloud

Security

NLP

Adversarial Testing

Job description

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.