AI/ML Engineer (Senior)-Hybrid (s/ s- Local to DMV only)

Washington, DC, US • Posted 17 hours ago • Updated 4 hours ago

Full Time

On-site

Compensation information provided in the description

Fitment

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Job Details

Skills

DMV
Information Technology
Agile
Regulatory Compliance
Cost Reduction
Accountability
IT Management
Solution Architecture
Integration Testing
Prototyping
Natural Language Processing
Workflow
Microsoft Certified Professional
Management
Automated Testing
Documentation
Risk Assessment
Use Cases
Inventory
Testing
Cloud Security
Coaching
Incident Management
Root Cause Analysis
Recovery
Corrective And Preventive Action
Computer Science
Data Science
Information Systems
Statistics
Software Engineering
Data Engineering
Enterprise Architecture
Generative Artificial Intelligence (AI)
Vector Databases
Orchestration
Continuous Integration
Continuous Delivery
Version Control
Machine Learning Operations (ML Ops)
FISMA
NIST SP 800 Series
FedRAMP
FIPS
Security Engineering
Section 508
WCAG
Accessibility
Authorization
Collaboration
User Experience
Program Management
Privacy
Vertex
GitLab
GitHub
JIRA
Confluence
Kubernetes
OWASP
Risk Management
Evaluation
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Machine Learning (ML)
Databricks
Snow Flake Schema
Artificial Intelligence
Cloud Computing
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

DMV
Information Technology
Agile
Regulatory Compliance
Cost Reduction
Accountability
IT Management
Solution Architecture
Integration Testing
Prototyping
Natural Language Processing
Workflow
Microsoft Certified Professional
Management
Automated Testing
Documentation
Risk Assessment
Use Cases
Inventory
Testing
Cloud Security
Coaching
Incident Management
Root Cause Analysis
Recovery
Corrective And Preventive Action
Computer Science
Data Science
Information Systems
Statistics
Software Engineering
Data Engineering
Enterprise Architecture
Generative Artificial Intelligence (AI)
Vector Databases
Orchestration
Continuous Integration
Continuous Delivery
Version Control
Machine Learning Operations (ML Ops)
FISMA
NIST SP 800 Series
FedRAMP
FIPS
Security Engineering
Section 508
WCAG
Accessibility
Authorization
Collaboration
User Experience
Program Management
Privacy
Vertex
GitLab
GitHub
JIRA
Confluence
Kubernetes
OWASP
Risk Management
Evaluation
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Machine Learning (ML)
Databricks
Snow Flake Schema
Artificial Intelligence
Cloud Computing
Health Insurance
Network
Life Insurance
Insurance
Training
Budget

Summary

About Swingtech

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.

Position Summary

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.

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

Equal Opportunity Employer Minority/Female/Veterans/Disabled

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90882430
Position Id: 3151e50d42c054bd76e6ab2a9425d3c9
Posted 17 hours ago

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