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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML engineering, including architecture, design, and deployment of secure AI solutions. Proficient in integrating AI models, managing data pipelines, and ensuring compliance with Federal standards and security protocols.
Highest-signal resume keywords
AI/ML EngineeringGenerative AI IntegrationMLOps PracticesFederal AI Solutions ArchitectureCloud Platform Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution ArchitectureMachine LearningNatural Language ProcessingDocument IntelligenceModel EvaluationData EngineeringCloud EngineeringAPIsCI/CD PipelinesModel Monitoring
Soft Skills
Technical LeadershipStakeholder CommunicationTechnical CoachingProblem SolvingCollaboration
Tools & Technologies
AWSAzure AI FoundryGoogle Cloud Vertex AIGitLabGitHub CopilotJIRAConfluenceMLflowKubernetesInfrastructure as Code
Certifications & Qualifications
AWS AI/ML CertificationMicrosoft Azure AI CertificationGoogle Cloud AI/ML Certification
Industry Keywords
FISMANIST 800-seriesFedRAMPFIPSSection 508WCAG AccessibilityFederal ATOResponsible AIAI Risk ManagementAI Governance
Tech Stack
Tools & technologiesAWSAzureCloudKubernetes
About the role
Key responsibilities & impact- Serve as a senior Forward Deployed Engineer and accountable technical lead for one or more DOL component agencies
- Lead AI solution architecture, design, engineering, integration, testing, deployment, troubleshooting, and technical quality for assigned DOL agency solutions
- Translate agency mission needs into AI use cases, prototypes, technical designs, implementation backlogs, acceptance criteria, and production-ready capabilities
- Design and implement AI/ML systems using deterministic automation, classical ML, NLP, document intelligence, generative AI, LLMs, RAG, agentic workflows, multi-agent systems, and MCP-based integrations
- Define reusable architecture patterns, engineering standards, evaluation methods, secure integration patterns, and MLOps/LLMOps practices
- Lead technical discovery and feasibility assessments covering data readiness, operational context, integration constraints, privacy/security impact, Responsible AI implications, and 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 are 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 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 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
Requirements
What you’ll need- 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
- US citizenship or Green Card
- Must be local to the DMV area
- Preferred: experience delivering AI solutions for Federal civilian agencies
- Preferred: experience with AWS, Azure AI Foundry, Google Cloud Vertex AI, AWS Bedrock, GitLab, GitHub Copilot, JIRA, Confluence, MLflow, containers, Kubernetes, and Infrastructure as Code
- Preferred: experience with AI red teaming, OWASP LLM security risks, AI risk management, model cards, Responsible AI governance, and formal AI evaluation frameworks
- Preferred: Microsoft Azure AI, AWS AI/ML, Google Cloud AI/ML, Databricks, Snowflake, NVIDIA, CAIP, or equivalent AI/cloud certification
Benefits
Comp & perks- 15 PTO days
- 11 paid holidays
- Medical Insurance with 3 options, including HSA with $600 Employer Contribution
- Dental Insurance with no age limit orthodonture
- Vision Insurance through EyeMed with 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
- $1,500 Annual Training Budget
- $1,500 Referral bonus
- Eligibility for annual merit and discretionary bonus
- Flexible work arrangements