Machine Learning Engineer

• Develop AI/ML-enabled applications, APIs, data-processing components, model integration layers, RAG pipelines, retrieval services, workflow automations, and technical prototypes
• Support model development, fine-tuning, prompt/context engineering, evaluation, version control, release management, and production monitoring
• Build RAG capabilities using document ingestion, parsing, metadata extraction, chunking, embeddings, vector indexing, hybrid retrieval, reranking, citation validation, and knowledge-base refresh processes
• Implement agentic and workflow automation features, including MCP server or tool integrations, schema validation, controlled tool calls, audit logging, human-approval checkpoints, and safe failure handling
• Develop robust code in Python, SQL, and other required languages using secure software-development practices
• Create automated unit, integration, regression, data-quality, model-evaluation, and performance tests
• Support AI evaluation for accuracy, relevance, hallucination, grounding, bias/fairness, explainability, safety, security, and user acceptance
• Participate in CI/CD, DevSecOps, MLOps, code review, security scanning, documentation, and source-control processes
• Prepare technical documentation, runbooks, test evidence, release notes, model documentation, and configuration records
• Support privacy, security, Responsible AI, accessibility, and ATO evidence-development activities
• Support operational monitoring, incident response, defect triage, corrective actions, and knowledge transfer
• Participate in agile ceremonies, demonstrations, backlog refinement, sprint planning, and retrospective improvement activities
• Collaborate with Senior AI/ML Engineers, data engineers, developers, business analysts, project managers, and DOL stakeholders to deliver secure, measurable, and maintainable AI capabilities

AI/ML Engineer, Mid-Level

• 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

Senior AI/ML Engineer – US Citizens/Green Cards only

• Design, implement, and optimise production-grade AI/ML systems
• Build applications using large language models, retrieval-augmented generation, and prompt engineering
• Evaluate and improve model behaviour across complex production use cases
• Design reliable retrieval and grounding workflows
• Develop and orchestrate multi-agent systems using modern agent frameworks
• Design tool-use workflows and agent interaction patterns
• Build reliable control logic for complex multi-step AI tasks
• Evaluate agent behaviour, failure modes, and system-level trade-offs
• Deploy and integrate AI solutions within secure cloud environments
• Apply secure engineering practices across development and deployment
• Collaborate with security teams to align technical solutions with environment-specific requirements
• Build and maintain robust data pipelines for AI training and inference
• Design and manage ETL workflows
• Develop metadata catalogues, ontologies, and structured knowledge representations
• Improve data quality, lineage, and accessibility across AI systems
• Build and maintain REST APIs and SDK integrations
• Connect AI models, external systems, and data services through reliable interfaces
• Implement and maintain CI/CD workflows
• Support deployment, monitoring, and operational reliability of production AI systems
• Collaborate with product, security, engineering, and data teams
• Document technical decisions and architecture clearly
• Contribute to engineering standards and architecture decisions
• Translate mission requirements into secure and scalable technical solutions