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1221 results (27 new)

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Intelligent Automation/AI-ML Engineer

Node.Digital

Herndon, Virginia • Today

Full-time

Intelligent Automation/AI-ML Engineer (Full Stack Engineer)

Node.Digital

Herndon, Virginia • Today

Full-time

AI/ML Engineer

Waypoint Human Capital

Chantilly, Virginia • Today

Full-time

AI/ML Engineer

SPA

Chantilly, Virginia • Today

Full-time

USD 150,000.00 per year

AI/ML Engineer

Xenith Solutions LLC

Remote or Ashburn, Virginia • Today

Full-time

USD 115,000.00 - 165,000.00 per year

AI/ML Engineer

NiyamIT Inc

Ashburn, Virginia • Today

Full-time

Senior AI/ML Engineer

Node.Digital

Herndon, Virginia • Today

Full-time

AI/ML Engineer (Midlevel)

Node.Digital

Herndon, Virginia • Today

Full-time

Junior AI/ML Engineer

Node.Digital

Herndon, Virginia • Today

Full-time

AI/ML Engineer Principal

SAIC

Chantilly, Virginia • Today

Full-time

Compensation information provided in the description

AI-ML Engineer

ANALYTICA

Bethesda, Maryland • Today

Full-time

AI/ML Engineer

Reinventing Geospatial, Inc. (RGi)

Springfield, Virginia • Today

Full-time

USD 150,000.00 - 210,000.00 per year

AI / ML Engineer

Accenture LLP

Arlington, Virginia • Today

Full-time

USD 103,200.00 - 196,400.00 per year

AI/ML Engineer

American Bureau of Shipping

Washington, District of Columbia • Today

Full-time

Full performance AI/ML Engineer

Markon

McLean, Virginia • Today

Full-time

USD 130,000.00 - 160,000.00 per year

AI/ML Engineer (Computer Vision)

CACI International, Inc.

Ashburn, Virginia • Today

Full-time

USD 103,800.00 - 218,100.00 per year

Artificial Intelligence/Machine Learning (AI/ML) Engineer (2026-0238)

Acclaim Technical Services

Chantilly, Virginia • Today

Full-time

Lead AI/ML Engineer (Computer Vision)

CACI International, Inc.

Ashburn, Virginia • Today

Full-time

USD 105,100.00 - 231,100.00 per year

AI/ML Engineer - TS/SCI w/poly

General Dynamics

Herndon, Virginia • Today

Full-time

USD 122,275.00 - 165,431.00 per year

AI/ML Engineer - Multiple levels (Cleared)

Noblis

Reston, Virginia • Today

Full-time

USD 90,700.00 - 171,525.00 per year

Artificial Intelligence / Machine Learning (AI/ML) Engineer (TS/SCI w/ FSP)

Praescient Analytics

McLean, Virginia • Today

Full-time

USD 120,000.00 - 240,000.00 per year

AI/ML Engineer TS/SCI

Parsons Services Company

Arlington, Virginia • Today

Full-time

USD 112,200.00 - 196,400.00 per year

AI/ML Engineer - TS/SCI

Parsons Services Company

Arlington, Virginia • Today

Full-time

USD 103,500.00 - 181,100.00 per year

AI/Machine Learning Engineer Principal

SAIC

Chantilly, Virginia • Today

Full-time

USD 120,001.00 - 160,000.00 per year

AI/ML Engineer

Avalore, LLC

Arlington, Virginia • Today

Full-time

USD 107,000.00 - 233,000.00 per year

Senior AI/ML Engineer

Ignite IT

Suitland-Silver Hill, Maryland • Today

Full-time

Need a AI/ML Engineer(MLOps) - full time in Ashburn, VA (Hybrid 2 days a week onsite)

Adtech

Hybrid in Ashburn, Virginia • 3d ago

Easy Apply

Full-time

Depends on Experience

AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Riverdale Park, Maryland • Today

Full-time

USD 77,600.00 - 176,000.00 per year

AI/ML & Intelligent Automation Lead

Leidos

Remote • Today

Full-time

USD 107,900.00 - 195,050.00 per year

AI/ML Engineer (Senior)-Hybrid (s/ s- Local to DMV only)

Swingtech

Washington, District of Columbia • Today

Full-time

Compensation information provided in the description

Job Details

Skills

Security Clearance
Software Design
Servers
Data Deduplication
Normalization
Decision-making
Operational Efficiency
Data Quality
Root Cause Analysis
Corrective And Preventive Action
Documentation
Knowledge Base
Lifecycle Management
Automated Testing
Licensing
Budget
Caching
Use Cases
Microsoft Windows
Routing
CPU
Dashboard
Return On Investment
Innovation
Continuous Improvement
Regulatory Compliance
Privacy
Access Control
Management
Collaboration
Mentorship
Computer Science
Data Science
Software Engineering
Python
PyTorch
LangChain
LlamaIndex
Open Source
Microsoft Certified Professional
Document Processing
Optical Character Recognition
Natural Language Processing
Extraction
Data Cleansing
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Optimization
Performance Tuning
Vector Databases
Analytical Skill
Communication
Robotic Process Automation
Workflow
Automation Anywhere
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
GPU
Orchestration
Grafana
Evaluation
Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Agile
DevOps
Online Training

Security Clearance
Software Design
Servers
Data Deduplication
Normalization
Decision-making
Operational Efficiency
Data Quality
Root Cause Analysis
Corrective And Preventive Action
Documentation
Knowledge Base
Lifecycle Management
Automated Testing
Licensing
Budget
Caching
Use Cases
Microsoft Windows
Routing
CPU
Dashboard
Return On Investment
Innovation
Continuous Improvement
Regulatory Compliance
Privacy
Access Control
Management
Collaboration
Mentorship
Computer Science
Data Science
Software Engineering
Python
PyTorch
LangChain
LlamaIndex
Open Source
Microsoft Certified Professional
Document Processing
Optical Character Recognition
Natural Language Processing
Extraction
Data Cleansing
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Optimization
Performance Tuning
Vector Databases
Analytical Skill
Communication
Robotic Process Automation
Workflow
Automation Anywhere
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
GPU
Orchestration
Grafana
Evaluation
Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Agile
DevOps
Online Training

Summary

Intelligent Automation/AI-ML Engineer

Location: Herndon, VA (Hybrid Work)

This position supports a U.S. Federal Government project. U.S. citizenship is required to meet the project's eligibility and security clearance requirements.

Experience: 3+ yrs & 5 yrs
Role Summary

The Intelligent Automation / AI-ML Engineer is the architect and guardian of intelligent automation solutions that incorporate AI/ML technologies, built on open-source AI models and the Model Context Protocol (MCP). The role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions. Responsibility spans the design, maintenance and optimization of intelligent applications, as well as troubleshooting and resolving issues that arise after implementation.

The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and builds repeatable intelligent solutions and bots for document processing, data cleansing and similar use cases. The role owns token management and optimization, model usage, performance, retraining and MLOps.
Key Responsibilities
Solution Design and Development

Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations.
Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows.
Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection).
Design agentic and human-in-the-loop workflows that support augmented decision making.
Create reusable components, templates and patterns that accelerate delivery across the organization.

Operations, Maintenance and Support

Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency.
Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation.
Monitor production solutions, define SLAs/SLOs, and perform root-cause analysis and corrective action.
Maintain documentation, runbooks and knowledge base articles for supported solutions.

MLOps and Model Lifecycle Management

Implement and manage MLOps pipelines covering versioning, CI/CD, automated testing, deployment, monitoring and rollback.
Own model retraining strategy, including drift detection, data and label management, evaluation benchmarks and scheduled or triggered retraining.
Track experiments, datasets and model artifacts using tools such as MLflow, DVC or equivalent.
Evaluate, fine-tune and select open-source models, balancing accuracy, latency, cost and licensing.
Establish model governance, including auditability, reproducibility, bias and safety checks, and responsible AI practices.

Token Management, Optimization and Performance

Implement token management and usage controls, including budgets, quotas, rate limiting, caching and cost attribution by team or use case.
Optimize prompts, context windows, retrieval strategies and model routing to reduce token consumption and cost without sacrificing quality.
Monitor and tune model usage and performance: latency, throughput, GPU/CPU utilization, quantization, batching and inference serving.
Produce dashboards and reports on usage, cost, quality and ROI.

Innovation and Continuous Improvement

Explore and prototype new options for embedding AI/ML into automations to enable continuous improvement and learning.
Evaluate emerging open-source models, frameworks, MCP capabilities and automation platforms, and recommend adoption where valuable.
Partner with business stakeholders to identify automation opportunities, define success metrics and measure outcomes.

Security, Compliance and Collaboration

Apply security best practices for data privacy, access control, secrets management and prompt-injection and data-leakage mitigation.
Ensure solutions comply with organizational policies and relevant regulations.
Collaborate with data engineers, software engineers, security teams, business analysts and process owners.
Mentor team members and share best practices.

Requirements
Required Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
Experience in AI/ML engineering, intelligent automation or software engineering, with production deployments.
Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar.
Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques.
Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks.
Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines.
Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring).
Experience with token usage tracking, cost optimization and performance tuning of LLM applications.
Familiarity with RAG architectures, vector databases and embeddings.
Strong troubleshooting, analytical and communication skills.

Preferred Qualifications

Experience with RPA or workflow platforms (e.g., UiPath, Automation Anywhere, Power Automate, n8n, Camunda).
Cloud experience (AWS, Azure or Google Cloud Platform), including GPU workloads and managed ML services.
Experience with orchestration tools (Airflow, Prefect, Kubeflow) and observability tools (Prometheus, Grafana, OpenTelemetry, LLM tracing tools).
Knowledge of model evaluation frameworks, guardrails and responsible AI.
Relevant certifications in cloud, ML or automation platforms.
Experience working in an Agile/DevOps environment.

Benefits

Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training

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: 91022750
Position Id: 248d48854de80d1f3d5a109bd04a64de
Posted 5 hours ago

Fitment

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

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Herndon, Virginia

•

Today

Intelligent Automation/AI-ML Engineer (Full Stack Engineer) Location: Herndon, VA (Hybrid Work) This position supports a U.S. Federal Government project. U.S. citizenship is required to meet the project's eligibility and security clearance requirements. Experience: 8+ yrs Position Summary The Intelligent Application / AI-ML Engineer is the architect and guardian of intelligent application solutions that incorporate AI/ML technologies using tools such as open source AI models. This role ensur

Full-time

AI/ML Engineer

Washington, District of Columbia

•

Today

Job Description ABS Group is seeking an AI/ML Engineer to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will design, develop, and operationalize machine learning and artificial intelligence solutions that support mission applications and data-driven workflows. You will help bring AI capabilities into production, build supporting pipelines and model operations workflows, and work across data science, engineering, and cloud teams

Full-time

AI Engineer SME

Chantilly, Virginia

•

Today

Be Challenged and Make a Difference In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. Description of Task to be Performed: AnaVation is seeking a highly skilled AI Engineer to join our high-performing team and lead the research, design, development, and execution of specialized operational and an

Full-time

USD 95,352.72 - 212,566.06 per year

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

Full-time

USD 220,001.00 - 260,000.00 per year

Job Details

Skills

Security Clearance
Software Design
Servers
Data Deduplication
Normalization
Decision-making
Operational Efficiency
Data Quality
Root Cause Analysis
Corrective And Preventive Action
Documentation
Knowledge Base
Lifecycle Management
Automated Testing
Licensing
Budget
Caching
Use Cases
Microsoft Windows
Routing
CPU
Dashboard
Return On Investment
Innovation
Continuous Improvement
Regulatory Compliance
Privacy
Access Control
Management
Collaboration
Mentorship
Computer Science
Data Science
Software Engineering
Python
PyTorch
LangChain
LlamaIndex
Open Source
Microsoft Certified Professional
Document Processing
Optical Character Recognition
Natural Language Processing
Extraction
Data Cleansing
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Optimization
Performance Tuning
Vector Databases
Analytical Skill
Communication
Robotic Process Automation
Workflow
Automation Anywhere
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
GPU
Orchestration
Grafana
Evaluation
Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Agile
DevOps
Online Training

Security Clearance
Software Design
Servers
Data Deduplication
Normalization
Decision-making
Operational Efficiency
Data Quality
Root Cause Analysis
Corrective And Preventive Action
Documentation
Knowledge Base
Lifecycle Management
Automated Testing
Licensing
Budget
Caching
Use Cases
Microsoft Windows
Routing
CPU
Dashboard
Return On Investment
Innovation
Continuous Improvement
Regulatory Compliance
Privacy
Access Control
Management
Collaboration
Mentorship
Computer Science
Data Science
Software Engineering
Python
PyTorch
LangChain
LlamaIndex
Open Source
Microsoft Certified Professional
Document Processing
Optical Character Recognition
Natural Language Processing
Extraction
Data Cleansing
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Optimization
Performance Tuning
Vector Databases
Analytical Skill
Communication
Robotic Process Automation
Workflow
Automation Anywhere
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
GPU
Orchestration
Grafana
Evaluation
Artificial Intelligence
Cloud Computing
Machine Learning (ML)
Agile
DevOps
Online Training

Summary

Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations.
Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows.
Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection).
Design agentic and human-in-the-loop workflows that support augmented decision making.
Create reusable components, templates and patterns that accelerate delivery across the organization.

Operations, Maintenance and Support

Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency.
Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation.
Monitor production solutions, define SLAs/SLOs, and perform root-cause analysis and corrective action.
Maintain documentation, runbooks and knowledge base articles for supported solutions.

MLOps and Model Lifecycle Management

Implement and manage MLOps pipelines covering versioning, CI/CD, automated testing, deployment, monitoring and rollback.
Own model retraining strategy, including drift detection, data and label management, evaluation benchmarks and scheduled or triggered retraining.
Track experiments, datasets and model artifacts using tools such as MLflow, DVC or equivalent.
Evaluate, fine-tune and select open-source models, balancing accuracy, latency, cost and licensing.
Establish model governance, including auditability, reproducibility, bias and safety checks, and responsible AI practices.

Token Management, Optimization and Performance

Implement token management and usage controls, including budgets, quotas, rate limiting, caching and cost attribution by team or use case.
Optimize prompts, context windows, retrieval strategies and model routing to reduce token consumption and cost without sacrificing quality.
Monitor and tune model usage and performance: latency, throughput, GPU/CPU utilization, quantization, batching and inference serving.
Produce dashboards and reports on usage, cost, quality and ROI.

Innovation and Continuous Improvement

Explore and prototype new options for embedding AI/ML into automations to enable continuous improvement and learning.
Evaluate emerging open-source models, frameworks, MCP capabilities and automation platforms, and recommend adoption where valuable.
Partner with business stakeholders to identify automation opportunities, define success metrics and measure outcomes.

Security, Compliance and Collaboration

Apply security best practices for data privacy, access control, secrets management and prompt-injection and data-leakage mitigation.
Ensure solutions comply with organizational policies and relevant regulations.
Collaborate with data engineers, software engineers, security teams, business analysts and process owners.
Mentor team members and share best practices.

Requirements
Required Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
Experience in AI/ML engineering, intelligent automation or software engineering, with production deployments.
Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar.
Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques.
Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks.
Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines.
Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring).
Experience with token usage tracking, cost optimization and performance tuning of LLM applications.
Familiarity with RAG architectures, vector databases and embeddings.
Strong troubleshooting, analytical and communication skills.

Preferred Qualifications

Experience with RPA or workflow platforms (e.g., UiPath, Automation Anywhere, Power Automate, n8n, Camunda).
Cloud experience (AWS, Azure or Google Cloud Platform), including GPU workloads and managed ML services.
Experience with orchestration tools (Airflow, Prefect, Kubeflow) and observability tools (Prometheus, Grafana, OpenTelemetry, LLM tracing tools).
Knowledge of model evaluation frameworks, guardrails and responsible AI.
Relevant certifications in cloud, ML or automation platforms.
Experience working in an Agile/DevOps environment.

Benefits

Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training

Dice Id: 91022750
Position Id: 248d48854de80d1f3d5a109bd04a64de
Posted 5 hours ago

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.

Herndon, Virginia

•

Today

Full-time

AI/ML Engineer

Washington, District of Columbia

•

Today

Full-time

AI Engineer SME

Chantilly, Virginia

•

Today

Full-time

USD 95,352.72 - 212,566.06 per year

AI Machine Learning Developer Principal

Reston, Virginia

•

Today

Full-time

USD 220,001.00 - 260,000.00 per year

Intelligent Automation/AI-ML Engineer

Skills

Summary

Dice Job Match Score™

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Intelligent Automation/AI-ML Engineer

Job Details

Skills

Summary

Dice Job Match Score™

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