Pay
Higher than most similar jobs
$200K–$350K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Washington, D.C.
Open 5 months, first seen by us 161 days agoThe AI Team is distributed across multiple projects and could have potential for some hybrid work. Pay Range $200,000 - $350,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable lawsRead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Architect AI/ML solutions: training pipelines, inference services, feature stores, MLOps
Define the technical roadmap and break mission needs into architectures and plans
Lead multi-disciplinary engineering teams and oversee sprint planning and delivery
Serve as primary technical interface with government stakeholders
Champion responsible-AI and governance aligned to IC and DoD directives
Architect enterprise‑ready AI/ML solutions, including model‑training pipelines, inference services, feature stores, data‑ingestion pathways, and MLOps frameworks aligned to requirements.
Define the technical roadmap, breaking down complex mission needs into actionable architectures, workstreams, and implementation plans.
Lead multi‑disciplinary engineering teams, providing direction on algorithms, model selection, data strategy, integration, and delivery cadence.
Serve as primary technical interface with government stakeholders, articulating architecture decisions, model behaviors, risk tradeoffs, and recommended solution pathways.
Champion responsible‑AI and governance principles, ensuring approaches align with IC and DoD directives.
Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field.
Demonstrated experience architecting and deploying enterprise AI/ML systems.
Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
Experience leading technical teams, performing architecture trade studies, and guiding full ML lifecycle development.
Strong understanding of secure software engineering, distributed systems, DevSecOps, and containerization.
Excellent communication skills and ability to interface with senior government stakeholders.
Experience supporting AI/ML projects in government, defense, or intelligence environments.
Familiarity with Intelligence Community mission needs and data types.
Experience building or supporting NLP, computer‑vision, generative‑AI, or anomaly‑detection models.
Knowledge of MLOps, CI/CD, container orchestration, or distributed training frameworks.
- Active Secret clearance w/ the ability to obtain and maintain a TS/SCI security clearance. - Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field. - Minimum 14 years of progressive experience in AI/ML, data engineering, or advanced analytics.
Founded in 2007, Integration Innovation, Inc.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$200K–$350K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 161
Up longer than most. Similar jobs usually come down between day 7 and day 75.
Well past Integration Innovation, Inc. (i3)’s usual: its jobs come down by about day 80.
From 5,186 similar postings that came down, and 5 of Integration Innovation, Inc. (i3)’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Demonstrated experience architecting and deploying enterprise AI/ML systems. - Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Experience leading technical teams, performing architecture trade studies, and guiding full ML lifecycle development.
- Familiarity with Intelligence Community mission needs and data types. - Exposure to cloud‑native development (AWS, Azure, GovCloud). - Experience building or supporting NLP, computer‑vision, generative‑AI, or anomaly‑detection models.
- Conduct technical reviews and mentor engineers, elevating team capability and ensuring alignment with mission outcomes. - Guide evaluation and adoption of advanced ML tools, including deep‑learning frameworks (PyTorch, TensorFlow, JAX), distributed compute, MLOps platforms, generative‑AI modernization patterns, and enterprise scale data solutions. - Lead integration of AI capabilities into cloud‑native or hybrid architectures, ensuring compliance with security, accreditation, and enterprise‑data‑management requirements.
Complete your application on careers-i3-corps.icims.com. The employer’s form will show what is required.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning Engineer to support the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA) effort. As part of this dynamic program, you will architect enterprise-ready AI/ML solutions and serve as primary technical interface with government stakeholders.
This role is ideal for experienced engineers who can champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives.
The AI Team is distributed across multiple projects and could have potential for some hybrid work.
Pay Range $200,000 - $350,000
The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws
Preferred Qualifications
Founded in 2007, Integration Innovation, Inc. (i3) is headquartered in Huntsville, AL, with additional offices in Orlando, FL, and the National Capital Region. We are a 100% team member-owned mid-tier integrator with over 800 employee-owners, and our culture speaks for itself: we've earned ten Best Places to Work® awards, driven by strong employee engagement, transparent leadership, and a genuine commitment to communication.
i3 team members operate at the leading edge of national defense across a broad range of technical disciplines, from systems and software engineering to modeling, simulation, and training solutions to cybersecurity, digital engineering, and enterprise IT. We also take products from prototype through production, bringing that same engineering rigor to manufacturing and delivering hardware at scale. For candidates, that means a rare opportunity: the innovation and mission focus of an engineering services company paired with the hands-on impact of building and delivering real solutions that benefit the Warfighter, all inside an employee-owned company where your contributions directly shape both the mission and your ownership stake in the business
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The AI Team is distributed across multiple projects and could have potential for some hybrid work. Pay Range $200,000 - $350,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws
Washington, D.C.
This role is ideal for experienced engineers who can champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives. The AI Team is distributed across multiple projects and could have potential for some hybrid work. Pay Range $200,000 - $350,000
- Guide evaluation and adoption of advanced ML tools, including deep‑learning frameworks (PyTorch, TensorFlow, JAX), distributed compute, MLOps platforms, generative‑AI modernization patterns, and enterprise scale data solutions. - Lead integration of AI capabilities into cloud‑native or hybrid architectures, ensuring compliance with security, accreditation, and enterprise‑data‑management requirements. - Provide SME‑level support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decision‑ready artifacts for government review panels.
Qualifications - U.S. Citizenship. - Active Secret clearance w/ the ability to obtain and maintain a TS/SCI security clearance. - Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field.