Job description
AI/ML Specialist
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.
The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.
The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.
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:
AI tool evaluation and adoption criteria
Model performance monitoring and evaluation protocols
AI risk and control requirements
AI incident detection and response procedures
Human oversight and escalation mechanisms
Design and implement AI-enabled business process automations using Government-authorized platforms such as:
Power Automate
Power Apps
Copilot Studio
Comparable workflow and intelligent automation platforms
Develop AI-enabled solutions through established solution delivery processes, including:
Intake and requirements assessment
Solution design
Prototype development
Testing and validation
Security and governance review
Production deployment
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 evaluation, pilot program development, 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 for organizational applicability
Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
Develop AI-enabled analytics capabilities including:
Predictive modeling
Forecasting
Natural-language query
Classification and anomaly detection
Decision-support capabilities
Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
Establish and maintain 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 to operationalize AI capabilities
Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
Support change management and adoption efforts for AI-enabled processes
Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles
Qualifications
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 Qualifications
Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
Experience developing or implementing AI governance frameworks
Experience with generative AI and large language models
Experience building AI agents or agentic workflows
Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
Experience developing intelligent document processing solutions
Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
Experience with Power Platform technologies, including Power Apps and Power Automate
Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
Experience supporting AI procurement, technology selection, or pilot programs
Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
Experience within Department of Defense, federal, or education environments
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• 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 and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.