Senior AI/ML Engineer — Federal Solutions Leader (Hybrid)

Swingtech; Washington (District of Columbia); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

PTO 15 days

Holidays 11

Medical insurance (3 options)

Dental insurance

Vision insurance

Disability insurance

Life/AD&D insurance

Supplemental life insurance

Critical care and accident insurance

Pet insurance

Employee Assistance Program

401k with 4% match

Annual training budget

Referral bonus

Annual merit bonus

Job summary

Swingtech in Washington, DC seeks a Senior AI/ML Engineer to lead architecture and delivery of AI solutions for Department of Labor components. Hybrid work arrangement; senior technical leadership across AI/ML development, MLOps, and secure integrations.

You will translate mission needs into practical use cases, design scalable pipelines, ensure compliance with security and accessibility standards, and mentor the delivery team while coordinating with stakeholders.

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.

Responsibilities

• 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.

Skills

AI/ML engineering

Data engineering

Cloud engineering

Enterprise architecture

APIs & data pipelines

MLOps

Security compliance

Education

Bachelor's degree

Master's preferred

Tools

AWS

Azure

Vertex AI

Bedrock

GitLab

GitHub Copilot

JIRA

Confluence

MLflow

Kubernetes

IaC

Job description

Swingtech in Washington, DC seeks a Senior AI/ML Engineer to lead architecture and delivery of AI solutions for Department of Labor components. Hybrid work arrangement; senior technical leadership across AI/ML development, MLOps, and secure integrations.

You will translate mission needs into practical use cases, design scalable pipelines, ensure compliance with security and accessibility standards, and mentor the delivery team while coordinating with stakeholders.