Position SummaryThe Senior AI/ML Engineer serves as a senior Forward Deployed Engineer and accountable technical lead for one or more DOL component agencies. The position provides hands-on technical leadership across AI solution architecture, data engineering, AI/ML development, generative AI, RAG, agentic workflows, Model Context Protocol integrations, evaluation, MLOps, production deployment, and ongoing operations.
Senior AI/ML Engineer positions serve as the program's shared technical leadership team and maintain designated agency technical points of contact.
Essential Duties- Lead AI solution architecture, design, engineering, integration, testing, deployment, troubleshooting, and technical quality for assigned DOL agency solutions.
- Translate agency mission needs into actionable AI use cases, prototypes, technical designs, implementation backlogs, measurable acceptance criteria, and production-ready capabilities.
- Design and implement AI/ML systems using appropriate approaches, including deterministic automation, classical ML, NLP, document intelligence, generative AI, LLMs, RAG, agentic workflows, multi-agent systems, and MCP-based integrations.
- Define and maintain reusable architecture patterns, engineering standards, evaluation methods, secure integration patterns, and MLOps/LLMOps practices across DOL agency teams.
- Lead technical discovery and feasibility assessments, including data readiness, operational context, integration constraints, privacy/security impact, Responsible AI implications, and expected mission value.
- Architect secure and scalable AI solutions using Government-approved cloud platforms, services, models, tools, data sources, APIs, repositories, and CI/CD pipelines.
- Lead AI evaluation and TEVV activities addressing accuracy, relevance, retrieval quality, groundedness, hallucination, safety, reliability, bias and fairness, explainability, accessibility, performance, resiliency, and adversarial threats.
- Ensure training, validation, and final evaluation datasets remain separated, documented, versioned, protected, and access-controlled.
- Implement or oversee model versioning, experiment tracking, source control, automated testing, model and retrieval monitoring, drift detection, controlled retraining, rollback, and release-readiness controls.
- Support Responsible AI documentation, AI risk assessments, RAIA packages, model cards, human-in-the-loop controls, AI use-case inventory inputs, and required Government approval packages.
- Support security, privacy, Section 508 accessibility, ATO, architecture review, and operational-readiness activities.
- Maintain source code, configurations, technical documents, testing evidence, runbooks, and release records in Government-controlled repositories.
- Serve as a primary technical liaison to DOL agency stakeholders, the COR, Federal Project Manager, AI Governance, enterprise platform, cloud, security, privacy, architecture, and accessibility teams.
- Provide peer review, technical coaching, quality oversight, and escalation support to the delivery team.
- Support incident response, root-cause analysis, recovery, and corrective-action activities for production AI systems.
Required Qualifications- Bachelor's degree in computer science, data science, software engineering, information systems, statistics, engineering, or a closely related technical field; master's degree preferred.
- At least seven years of hands-on experience in AI/ML engineering, software engineering, data engineering, cloud engineering, or enterprise architecture.
- At least two years of hands-on experience delivering generative AI, LLM integration, RAG, model evaluation, agentic AI, production ML systems, or comparable AI-enabled capabilities.
- Demonstrated experience architecting and delivering secure enterprise or Federal AI solutions.
- Experience with AI model integration, APIs, data pipelines, vector databases, retrieval systems, AI orchestration, CI/CD, source control, model evaluation, monitoring, and MLOps.
- Demonstrated knowledge of FISMA, NIST 800-series guidance, FedRAMP, FIPS, security engineering, privacy, Section 508/WCAG accessibility, and Federal ATO or equivalent authorization processes.
- Ability to advise both technical and nontechnical stakeholders and lead work across AI, data, applications, UX, security, and program-management disciplines.
Preferred Qualifications- Experience delivering AI solutions for Federal civilian agencies, especially in regulated, privacy-sensitive, or high-impact environments.
- Experience with AWS, Azure AI Foundry, Google Cloud Vertex AI, AWS Bedrock, GitLab, GitHub Copilot, JIRA, Confluence, MLflow, containers, Kubernetes, and Infrastructure as Code.
- Experience with AI red teaming, OWASP LLM security risks, AI risk management, model cards, Responsible AI governance, and formal AI evaluation frameworks.
- Microsoft Azure AI, AWS AI/ML, Google Cloud AI/ML, Databricks, Snowflake, NVIDIA, CAIP, or equivalent AI/cloud certification.
Summary of Benefits- 15 PTO days
- 11 paid holidays
- Medical Insurance with - 3 options (HSA with $600 Employer Contribution).
- Dental Insurance with no age limit orthodonture.
- Vision Insurance through EyeMed in and out of network coverage.
- Short Term and Long-Term Disability coverage with 100% premium support,
- Life insurance and AD&D with 100% premium support
- Supplemental Life Insurance
- Critical Care and Accident Insurance availability
- Pet Insurance through Nationwide
- Employee Assistance Program
- 401k with enrollment from day one. 4% deferral by company.
- $1500 Annual Training Budget
- $1500 Referral bonus
- Eligibility for annual merit and discretionary bonus
- Flexible work arrangements
