AI/ML Engineer

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