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AI/Machine Learning Engineer SME

Pay
$200,000–350,000/yearAnnual period assumed — pay source
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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
No visa sponsorship

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • 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.
Qualification wording
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.
Education & alternatives
- 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.

About Integration Innovation, Inc. (i3)

Founded in 2007, Integration Innovation, Inc.

In the employer’s words · Read in context

Posting record

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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.

Status in our records
Live
First seen by us
Jun 3, 2026161 days ago
Recorded sightings
180
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

Day 161

Up longer than most. Similar jobs usually come down between day 8 and day 75.

Well past Integration Innovation, Inc. (i3)’s usual: its jobs come down by about day 80.

From 5,198 similar postings that came down, and 5 of Integration Innovation, Inc. (i3)’s. Coming down is not always a hire.

Integration Innovation, Inc. (i3) is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

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.

  • Python
  • AWS
  • Azure
  • PyTorch
  • TensorFlow
Where the posting names them
- 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.

Your next step

Complete your application on careers-i3-corps.icims.com. The employer’s form will show what is required.

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  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 617, the most 1,122, and the latest week had 1,122.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Overview

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

Responsibilities

  • 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.
  • Oversee sprint planning and technical execution, ensuring deliverables are on time, blockers are removed, and engineering artifacts meet enterprise standards.
  • Serve as primary technical interface with government stakeholders, articulating architecture decisions, model behaviors, risk tradeoffs, and recommended solution pathways.
  • Establish and enforce best practices across ML engineering, DevSecOps, coding standards, test automation, and model life‑cycle governance.
  • 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.
  • Provide SME‑level support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decision‑ready artifacts for government review panels.
  • Champion responsible‑AI and governance principles, ensuring approaches align with IC and DoD directives.

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.
  • Minimum 14 years of progressive experience in AI/ML, data engineering, or advanced analytics.
  • 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.

Preferred Qualifications

  • Experience supporting AI/ML projects in government, defense, or intelligence environments.
  • 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.
  • Knowledge of MLOps, CI/CD, container orchestration, or distributed training frameworks.

About i3

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

Source details

View original posting ↗

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Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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
Location & working pattern

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
More source context
- 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.
Work authorization
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.

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