AI/ML Engineer (Senior)-Hybrid (US Citizens/ Green Cards- Local to DMV only)

Swingtech delivers innovative Information Technology and Professional Support services to a diverse range of clients across the federal and intelligence communities. With over 15 years of trusted experience as a systems integrator, we apply agile methodologies and deep industry insight to help our customers achieve greater efficiency, compliance, and cost savings. At Swingtech, we’re committed to excellence and long-term success for our clients and our team.

The 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.

• 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.

• 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.
• Must be willing to work 3 days onsite at customer site in Washington, DC.

• 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.