Back to jobs

AI/Machine Learning Engineer SME

Washington, D.C.

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 setup
Unconfirmed
Employment
Unconfirmed

What you’ll work on

Full posting
  • 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.

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.
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.
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.

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.

Tools in this posting

  • Python
  • AWS
  • Azure
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- 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.

About Integration Innovation, Inc. (i3)

Founded in 2007, Integration Innovation, Inc.

In the employer’s words · Read in context

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

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

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.
Status in our records
Active
First seen by us
Jun 3, 2026
Recorded sightings
139
Last seen by us
Oct 8, 2026

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

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.