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Manager Edge Ai Machine Learning Jobs in Virginia

SAIC

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... Support systems engineering activities such as risk management, schedule management, and technical ...

Saic

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$125 - $150/hr

Support systems engineering activities such as risk management, schedule management, and technical ... Artificial Intelligence and/or Machine Learning technologies applied to space systems * IC mission ...

SAIC

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

Support systems engineering activities such as risk management, schedule management, and technical ... Artificial Intelligence and/or Machine Learning technologies applied to space systems * IC mission ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Our machine learning teams bridge the gap between cutting-edge AI research and operational ... Familiarity with distributed model training and GPU resource management. Physical Requirements

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

Contribute to AI product development activities across the lifecycle, including prototyping ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$125 - $150/hr

Contribute to AI product development activities across the lifecycle, including prototyping ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...

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Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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The most popular types of Edge Ai Machine Learning jobs in Virginia are:

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For Manager Edge Ai Machine Learning jobs in Virginia, the most frequently searched job titles are:

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Cities in Virginia with the most Manager Edge Ai Machine Learning job openings:

Manager Edge Ai Machine Learning jobs near you
Infographic showing various Manager Edge Ai Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

AI Machine Learning Technical Project Manager

Arlington, VA • On-site, Remote

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Full-time

Posted 4 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

Job ID: 2616566-OTHLOC-100000685975237

Location: Arlington, VA, US

Date Posted: 2026-09-04

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

We are seeking an experienced and mission-focused Technical Program Manager (PM) to lead, coordinate, and accelerate the delivery of cutting-edge AI/ML and secure cloud concepts and solutions across several key IC programs. This is a Hybrid role and are open to candidates in Chantilly VA or NOVA.  Candidates must have an active TS/SCI Clearance. Your primary mission is twofold:

  1. Programmatic Execution: Serve as the primary programmatic liaison and task manager interfacing with the various external program teams that our matrixed team supports. Your mission is to collect incoming program requests, manage intermixed timelines, and coordinate deliverables for execution and business growth.
  2. Accreditation Leadership: Drive the Risk Management Framework (RMF) and Authority to Operate (ATO) processes to transition AI/ML prototypes into operational high-side environments.

1. Inter-Program Liaison & Task Management (40%)

  • Act as the Central Interface: Serve as the primary point of contact for the various program leads we support. Build strong relationships with these stakeholders to understand their unique deliverables, timelines, and technical expectations.
  • Triage & Manage the Backlog: Gather, organize, and prioritize task requests from different programs into a single, cohesive team backlog. Coordinate schedules to prevent conflicts and ensure realistic milestones.

2. Security Compliance & Accreditation Coordination (30%)

  • Guide the ATO Process: Partner with our security stakeholders to navigate the Risk Management Framework (RMF / ICD 503) and compile the necessary documentation (such as System Security Plans) to get our software accredited. 
  • Act as Compliance Liaison: Support interfacing with Government Security Officers (ISSOs/ISSMs), translating technical features into compliance solutions as necessary. 
  • Secure Developer Environments: Work hand-in-hand with internal Corporate IT, facilities, and security groups to set up, upgrade, and maintain the secure workspaces, labs, and closed areas our team needs.
  • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models. 
  • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

3. Developer Support (30%)

  • Support Tech Execution: Assist developers in testing, refining, and documenting experimental code and models. 
  • Technical Architecture Development: Collaborate with our core AI/ML Developer to help architect, research and design rapid, high-fidelity proof-of-concept demos.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 14 years of experience or master’s degree with 12 years of experience.
  • Candidates must be U.S. Citizens.
  • Active TS/SCI Clearance.
  • Task Coordination & Liaison Skills: 3+ years of experience coordinating tasks, managing backlogs, or acting as a liaison between teams in a technical setting (e.g., IT, software, or engineering environments).
  • Familiarity with Government Accreditation Process: Basic understanding or working familiarity with secure systems, security plans, or the accreditation process (RMF/ATO) in government environments.
  • AI/ML Architect: Practical experience writing basic Python code and providing support to architect/whiteboard solutions for complex problems.

Preferred Qualifications

  • Experience deploying systems in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with IC missions.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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