AI/ML Engineer
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Job Description
AI/ML Engineer developing and governing AI automations, analytics, and LLM solutions for Rackner’s U.S. government software consultancy. Supporting responsible AI adoption across federal mission environments.
Responsibilities:
- Support the responsible integration of artificial intelligence into educational and operational business processes
- Design, develop, test, and deploy AI-driven solutions and process automations
- Conduct AI readiness assessments for proposed use cases
- Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
- Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
- Develop technical supplements to enterprise AI governance frameworks, including tool evaluation criteria, model monitoring protocols, risk and control requirements, incident response procedures, and human oversight mechanisms
- Design and implement AI-enabled business process automations using Power Automate, Power Apps, Copilot Studio, or comparable platforms
- Develop AI-enabled solutions through intake, requirements assessment, solution design, prototyping, testing, validation, security and governance review, deployment, and post-deployment monitoring
- Build and maintain AI agents and agent-enabled workflows
- Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
- Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
- Develop and maintain automated workflows incorporating AI or machine learning components
- Support AI tool evaluations, pilot programs, and proof-of-concept initiatives
- Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
- Evaluate emerging AI, machine learning, generative AI, and large language model platforms
- Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
- Support procurement readiness activities for AI tools
- Develop AI-enabled analytics capabilities including predictive modeling, forecasting, natural-language query, classification, anomaly detection, and decision support
- Support semantic models and AI-ready data products within enterprise Lakehouse environments
- Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
- Support testing for accuracy, performance, reliability, bias, robustness, and operational suitability
- Establish model performance metrics and monitoring processes
- Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
- Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers
- Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
- Support stakeholder engagement, demonstrations, workshops, training, adoption, and change management
- Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
- Ensure AI solutions align with organizational AI strategies, guidelines, security requirements, and responsible AI principles
Requirements:
- Experience designing, developing, evaluating, or implementing AI/ML solutions
- Experience with responsible AI frameworks, governance, or risk-management practices
- Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
- Python proficiency
- Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
- Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
- Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
- Experience developing prototypes, proofs of concept, or production AI-enabled applications
- Familiarity with model evaluation, performance measurement, and monitoring approaches
- Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
- Strong analytical, problem-solving, communication, and documentation skills
- Experience working with technical and non-technical stakeholders
- Ability to translate operational needs into practical AI-enabled solutions
- Active Secret clearance
- Preferred: Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
- Preferred: Experience developing or implementing AI governance frameworks
- Preferred: Experience with generative AI and large language models
- Preferred: Experience building AI agents or agentic workflows
- Preferred: Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
- Preferred: Experience developing intelligent document processing solutions
- Preferred: Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
- Preferred: Experience with Power Platform technologies, including Power Apps and Power Automate
- Preferred: Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
- Preferred: Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
- Preferred: Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
- Preferred: Experience supporting AI procurement, technology selection, or pilot programs
- Preferred: Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
- Preferred: Experience within Department of Defense, federal, or education environments
Benefits:
- Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas
- Clear advancement tracks and future leadership opportunities
- 401(k) with 100% match up to 6%
- Comprehensive medical, dental, vision, life, and disability coverage
- Generous PTO and paid holidays
- Home-office equipment plan and remote work support
- Fitness and wellness reimbursement
- Weekly pay schedule
- Team events
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