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AI Machine Learning Developer Principal

SAIC

Chantilly, Virginia • Today

Full-time

USD 160,001.00 - 200,000.00 per year

AI Machine Learning Developer Principal

SAIC

Reston, Virginia • Today

Full-time

USD 160,001.00 - 200,000.00 per year

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Staff Machine Learning Platform Engineer

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Easy Apply

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Principal Machine Learning Engineer

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SI/ML Engineer- TS/SCI with Polygraph required

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Machine Learning Engineer 4 - Machine Learning Experiences (MLX)

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Machine Learning Engineer 4 - Machine Learning Foundations (MLX)

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Sr. Lead Machine Learning Engineer

Capital One

Richmond, Virginia • 30+d ago

Full-time

SAIC

Job Details

Skills

Science
Reporting
Use Cases
Rapid Prototyping
POC
Product Demonstration
Generative Artificial Intelligence (AI)
Natural Language Processing
Computer Vision
Predictive Analytics
Prototyping
Workflow
Continuous Integration
Continuous Delivery
Regulatory Compliance
Management
Collaboration
Technical Communication
Stakeholder Engagement
Documentation
Computer Science
Data Science
Security Clearance
Python
Software Engineering
Version Control
Git
Unit Testing
PyTorch
TensorFlow
Unstructured Data
Artificial Intelligence
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Adobe AIR
Machine Learning Operations (ML Ops)
Orchestration
Apache Airflow
Interfaces
Demonstrations
IC
Internal Communications
Integrated Circuit
Information Technology
Systems Engineering
FOCUS

Science
Reporting
Use Cases
Rapid Prototyping
POC
Product Demonstration
Generative Artificial Intelligence (AI)
Natural Language Processing
Computer Vision
Predictive Analytics
Prototyping
Workflow
Continuous Integration
Continuous Delivery
Regulatory Compliance
Management
Collaboration
Technical Communication
Stakeholder Engagement
Documentation
Computer Science
Data Science
Security Clearance
Python
Software Engineering
Version Control
Git
Unit Testing
PyTorch
TensorFlow
Unstructured Data
Artificial Intelligence
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Adobe AIR
Machine Learning Operations (ML Ops)
Orchestration
Apache Airflow
Interfaces
Demonstrations
IC
Internal Communications
Integrated Circuit
Information Technology
Systems Engineering
FOCUS

Summary

Job ID: 2618251

Location: Chantilly, VA, US

Date Posted: 2026-10-21

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Top_Secret

Clearance Level Must Be Able to Obtain: TS/SCI

Potential for Remote Work: ORA_HYBRID

Description

We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.

This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or Reston VA . Candidates must have an active TS Clearance with the ability to get a TS/SCI

1. Rapid PoC & Demo Prototyping (40%)

Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master's degree with 7 years of relevant experience.
Clearance: Active TSC Clearance with the ability to get a TS/SCI
Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications:

Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111346
Position Id: 2618251
Posted 2 days ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Go to company profile

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Similar Jobs

AI Machine Learning Developer Principal

Reston, Virginia

•

Today

Job ID: 2618251-OTHLOC-209 Location: Reston, VA, US Date Posted: 2026-10-21 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Top_Secret Clearance Level Must Be Able to Obtain: TS/SCI Potential for Remote Work: ORA_HYBRID Description We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this ma

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USD 160,001.00 - 200,000.00 per year

AI/Machine Learning Engineer Principal

Chantilly, Virginia

•

Today

Job ID: 2615978 Location: Chantilly, VA, US Date Posted: 2026-08-25 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_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team of professionals providing technical and program services

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AI/ML Engineer Principal

Chantilly, Virginia

•

Today

Job ID: 2617793 Location: Chantilly, VA, US Date Posted: 2026-10-12 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a AI/ML Engineer to join a mission-driven, multi-disciplinary analysis team in Chantilly, VA. This role supports the design, acquisition, and operation of nati

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Compensation information provided in the description

Systems Engineer Chief

Chantilly, Virginia

•

Today

Job ID: 2618190 Location: Chantilly, VA, US Date Posted: 2026-10-20 Category: Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description Position Overview We are looking for a Chief Systems Engineer to lead technical strategy and solution development for AI demonstrations and production sol

Full-time

USD 220,001.00 - 260,000.00 per year

SAIC

Job Details

Skills

Science
Reporting
Use Cases
Rapid Prototyping
POC
Product Demonstration
Generative Artificial Intelligence (AI)
Natural Language Processing
Computer Vision
Predictive Analytics
Prototyping
Workflow
Continuous Integration
Continuous Delivery
Regulatory Compliance
Management
Collaboration
Technical Communication
Stakeholder Engagement
Documentation
Computer Science
Data Science
Security Clearance
Python
Software Engineering
Version Control
Git
Unit Testing
PyTorch
TensorFlow
Unstructured Data
Artificial Intelligence
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Adobe AIR
Machine Learning Operations (ML Ops)
Orchestration
Apache Airflow
Interfaces
Demonstrations
IC
Internal Communications
Integrated Circuit
Information Technology
Systems Engineering
FOCUS

Science
Reporting
Use Cases
Rapid Prototyping
POC
Product Demonstration
Generative Artificial Intelligence (AI)
Natural Language Processing
Computer Vision
Predictive Analytics
Prototyping
Workflow
Continuous Integration
Continuous Delivery
Regulatory Compliance
Management
Collaboration
Technical Communication
Stakeholder Engagement
Documentation
Computer Science
Data Science
Security Clearance
Python
Software Engineering
Version Control
Git
Unit Testing
PyTorch
TensorFlow
Unstructured Data
Artificial Intelligence
Machine Learning (ML)
Cloud Computing
Amazon Web Services
Microsoft Azure
Adobe AIR
Machine Learning Operations (ML Ops)
Orchestration
Apache Airflow
Interfaces
Demonstrations
IC
Internal Communications
Integrated Circuit
Information Technology
Systems Engineering
FOCUS

Summary

Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master's degree with 7 years of relevant experience.
Clearance: Active TSC Clearance with the ability to get a TS/SCI
Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications:

Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
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.

Dice Id: 10111346
Position Id: 2618251
Posted 2 days ago

Company Info

About SAIC

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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