AI/ML Engineer (Active Secret) — Applied AI & Automation

AI/ML Engineer — Applied AI & Intelligent Automation

• Remote
• Active Secret Clearance Required

Build AI That Moves Into Production

Rackner is seeking an AI/ML Engineer to help shape how artificial intelligence is evaluated, built, governed, and deployed across a federal data modernization environment.

This role goes beyond isolated prototypes or model development. You will help determine where AI can create meaningful operational value, whether AI is the right solution, and how promising use cases move from concept into production.

You will have the opportunity to build AI applications, agents, intelligent workflows, and automation while also influencing how emerging AI and LLM technologies are evaluated, governed, monitored, and adopted. Your work may span use-case assessment, solution design, prototyping, testing, deployment, responsible-AI controls, and post-production monitoring.

Working alongside engineering, data, cybersecurity, governance, and mission teams, you will gain visibility across the full AI delivery lifecycle and help shape both the technology and the decisions behind it.

For an engineer who wants to expand beyond a narrow model-development role, this position offers exposure across:

Applied AI engineering → AI/LLM evaluation → intelligent automation → responsible AI → enterprise adoption

You will help turn emerging AI capabilities into practical tools that support real operational needs—not innovation for innovation’s sake.

Then I’d go directly into:

What You’ll Own

Turn operational challenges into practical AI use cases, technical requirements, and solution designs

Build and deploy AI applications, agents, intelligent workflows, and process automations

Take solutions from intake and prototype through testing, production deployment, and monitoring

Apply Python to AI/ML prototypes, integrations, evaluations, and automation

Connect AI capabilities with enterprise applications, APIs, workflows, and data platforms

Create intelligent document workflows for classification, extraction, summarization, routing, and related use cases

Evaluate AI, generative AI, and LLM platforms for quality, security, reliability, scalability, risk, and organizational fit

Design pilots, evaluation criteria, test plans, success measures, and adoption recommendations

Shape responsible-AI controls covering model evaluation, performance monitoring, human oversight, risk, and incident response

Apply tools such as Power Automate, Power Apps, Copilot Studio, or comparable intelligent-automation platforms

Develop AI-driven analytics capabilities including predictive modeling, forecasting, and natural-language interaction with enterprise data

Partner with stakeholders and technical teams to move useful AI capabilities from concept into sustainable operational use

What You'll Bring

A track record of building, integrating, evaluating, or deploying AI/ML capabilities in real organizational environments

Strong Python skills

Hands-on work with generative AI, LLM applications, machine learning, intelligent automation, or related applied-AI technologies

Ability to integrate solutions with APIs, enterprise systems, workflows, or data sources

Understanding of the AI delivery lifecycle from requirements and prototyping through testing, deployment, monitoring, and iteration

Working knowledge of responsible-AI, governance, model evaluation, or AI risk-management practices

Technical judgment to assess feasibility, value, implementation complexity, and risk

Ability to translate operational needs into practical technical solutions

Clear communication across both technical and nontechnical stakeholders

Active Secret clearance

Valuable Additional Background

You do not need every item below to be successful in the role.

Background in one or more of these areas would be valuable:

Generative AI and enterprise LLM applications

AI agents or agentic workflows

Power Automate, Power Apps, Copilot Studio, or similar automation platforms

Azure AI, Microsoft Fabric, or related Microsoft technologies

Intelligent document processing

Predictive analytics, forecasting, or natural-language analytics

AI governance, human-in-the-loop controls, model monitoring, or evaluation frameworks

Organizational AI pilots or technology-selection efforts

Responsible AI within DoD or other regulated environments

Federal, defense, or education technology environments

Why Rackner

At Rackner, you will work on technology intended for real mission use—not innovation theater.

This role offers the opportunity to help determine where AI creates value, how solutions should be built, and what responsible production adoption looks like within a complex federal environment.

You will collaborate with teams working across AI/ML, cloud, data, DevSecOps, cybersecurity, and modern software engineering while gaining exposure to both technical delivery and the decisions that shape how emerging technology is adopted.

Rackner is a software consultancy building mission-critical systems for the U.S. government. Our teams support federal agencies and national-security missions through modern cloud, software, data, and AI capabilities.

Benefits & Perks

Company-supported certifications across AI/ML, cloud, Kubernetes, DevSecOps, security, and related technical areas

Clear advancement tracks and future leadership opportunities

401(k) with 100% match up to 6%

Medical, dental, vision, life, and disability coverage

Generous PTO and paid holidays

Home-office equipment and remote-work support

Fitness and wellness reimbursement

Weekly pay

Team events and professional-development opportunities

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.