Top 1843 ai/ml engineer Jobs in arlington va

Lead AI Engineer
iAdeptive Technologies —Columbia, MD
- From $140,000 a year
- Full-time
- Hybrid work
- Background check
- System design
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
Industrial Engineer - AI Trainer
DataAnnotation —Virginia
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Hybrid Cloud Platform Engineer
General Dynamics Information Technology —Springfield, VA
- $124,950 - $169,050 a year
- 5 years
- AWS
- Senior level
- Paid time off
- 401(k) matching
Agentic AI Solution Engineer
CORAS.AI —McLean, VA
- $80,000 - $90,000 a year
- Full-time
- Hybrid work
- System design
- Continuous improvement
- JavaScript
- Health insurance
- Dental insurance
Quick Apply
AI Engineer Consultant
Deloitte —McLean, VA
- $93,000 - $171,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
ML Engineer
Innovien Solutions —Falls Church, VA
- Background check
- Azure
- Mid-level
6d
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Obviant —Arlington, VA
- $140,000 - $200,000 a year
- Weekends as needed
- Hybrid work
- 5 years
- Office
- Analysis skills
- Dental insurance
- Work from home
Software Engineer, Intelligent Systems
Virginia Tech —Arlington, VA
- From $90,000 a year
- Full-time
- Computer Science
- Master's degree
- Linux
DevSecOps Engineer
INflow Federal —Arlington, VA
- Remote
- Computer science
- 7 years
- Computer Science
Quick Apply
Lead Full-Stack Engineer
iAdeptive Technologies —Columbia, MD
- From $130,000 a year
- Full-time
- Hybrid work
- Background check
- Azure
- System design
- Health insurance
- Dental insurance
Quick Apply
Geospatial Systems Software Engineer, Senior
General Dynamics Information Technology —Springfield, VA
- $162,037 - $219,227 a year
- Master's degree
- SQL
- C++
- Paid time off
- Work from home
Geospatial Systems Software Engineer, Senior
General Dynamics Information Technology —Springfield, VA
- $162,037 - $219,227 a year
- Master's degree
- SQL
- C++
- Paid time off
- Work from home
Senior Network Engineer - TS/SCI with Polygraph
General Dynamics Information Technology —Springfield, VA
- $111,155 - $150,385 a year
- Computer Science
- Bachelor of Science
- Research
Cross Domain Solutions (CDS) Engineer - TS/SCI
General Dynamics Information Technology —Springfield, VA
- $147,292 - $199,278 a year
- 6 years
- Bachelor's degree
- Team management
UX Manager - TS/SCI w/poly
General Dynamics Information Technology —Annapolis Junction, MD
- $153,000 - $207,000 a year
- 5 years
- Bachelor of Science
- Office
- Paid time off
- 401(k) matching
Cloud Engineer Sr. Principal - TS/SCI with Polygraph
General Dynamics Information Technology —Chantilly, VA
- $164,382 - $201,250 a year
- Azure
- Computer Science
- DevOps
- Paid time off
- 401(k) matching
Identity and Directory Services Engineer - TS/SCI with Polygraph
General Dynamics Information Technology —Chantilly, VA
- $142,792 - $184,000 a year
- Windows
- AWS
- In-person
- Paid holidays
- 401(k) matching
Network Engineer - TS/SCI w/Poly
General Dynamics Information Technology —Annapolis Junction, MD
- $102,000 - $138,000 a year
- Bachelor of Science
- Mid-level
- Analysis skills
- Paid time off
- 401(k) matching
AI/ML Developer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
Skype for Business Engineer - TS/SCI w/Poly
General Dynamics Information Technology —Annapolis Junction, MD
- $110,500 - $149,500 a year
- On call
- 5 years
- Bachelor of Science
- Continuous improvement
- Paid time off
- 401(k) matching

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ai/ml engineer jobs near arlington va

Lead AI Engineer

iAdeptive Technologies -
Columbia, MD

Quick Apply

Job Details

Full-time
From $140,000 a year

Benefits

Health insurance
Dental insurance
Paid time off
Vision insurance
401(k) matching
Professional development assistance
Life insurance

Qualifications

AI models
Software engineering
Generative models
AI platforms (beyond public GPTs)
Computational framework
Bachelor's degree
Model deployment
Implementation (software development lifecycle)
Developing large-scale AI models
Data pipelines
APIs
Monitoring system implementation
System development
DevOps automation
Machine learning libraries
Model evaluation
Machine learning frameworks
Responsible AI
Project stakeholder communication
MLOps
Generative AI
Stakeholder management

Full Job Description

iAdeptive is looking for an AI engineer who is already building the systems that others are still talking about. You deeply embed with federal clients as their technical AI lead — owning the full arc from ideation to prototype to production to scale — while simultaneously driving iAdeptive's AI practice, governance standards, and technical reputation forward.

HANDS-ON FIRST

You ship code every week — no exceptions. Production LLM pipelines, agentic workflows, RAG systems, and evaluation harnesses are your daily output. You own problems end-to-end and pick up whatever knowledge you're missing to get the job done.

AI-AUGMENTED, NOT AI-DEPENDENT

You use Cursor, Copilot, Claude Code, and frontier tools to move fast. You also know exactly why a vibe-coded black box is a liability in federal production. You can read the diff, explain the logic, own the deployment — and write the Architecture Decision Record that documents why.

TREND LEADER

You have a point of view on what OpenAI, Anthropic, Google DeepMind, and Mistral shipped last week. You know where LangGraph, CrewAI, and the agentic framework ecosystem are heading. You brief iAdeptive leadership proactively and position the company ahead of the curve.

What You Will Do

Deeply embed with federal agency clients as the technical AI lead — from ideation through prototype, production, and scale
Work with senior stakeholders to identify the highest-value GenAI applications and build a comprehensive, prioritized AI backlog to support their roadmap
Design, build, and deploy production-grade LLM, RAG, and agentic AI systems using LangChain, LangGraph, CrewAI, and OpenAI/Anthropic APIs
Design and implement multi-step autonomous task execution architectures and secure multi-agent workflows for federal mission use cases
Define AI architecture standards, reference architectures, and Architecture Decision Records (ADRs) aligned with federal technology frameworks (NIST AI RMF, FedRAMP)
Lead AI risk assessments and Algorithmic Impact Assessments (AIAs) — identifying and mitigating bias, privacy harms, and unintended consequences
Apply privacy-preserving AI techniques including federated learning and differential privacy where mission requirements demand them
Build model evaluation harnesses, observability tooling, model cards, system cards, and AI use-case inventories
Ensure AI systems support data lineage, model versioning, audit logging, and reproducibility for federal compliance
Integrate privacy-by-design and security-by-design throughout the AI system development lifecycle
Synthesize and deliver high-signal feedback on model capabilities and platform gaps to iAdeptive leadership
Mentor engineers on AI tooling, prompt engineering, and responsible deployment; codify best practices and publish reusable resources

What We're Looking For

7+ years of software or ML engineering with 3+ years building production AI/ML systems
Deep hands-on experience with LLM APIs, vector databases, embedding pipelines, and retrieval architectures
Proficiency in Python; strong grasp of AI/LLM best practices; JavaScript/TypeScript a plus
Hands-on experience with agentic frameworks: LangChain, LangGraph, CrewAI, AutoGen, or equivalent
Experience with MLOps: experiment tracking, model versioning, CI/CD for ML, monitoring and observability
Working knowledge of responsible AI: bias detection, explainability, audit trails, algorithmic impact assessment
Familiarity with privacy-preserving techniques (federated learning, differential privacy) for regulated environments
Proven ability to drive multiple concurrent projects and prioritize ruthlessly in fast-moving environments
Effective, polished communicator — translates AI concepts to engineers, executives, and federal clients equally well
Bachelor’s degree required; advanced degree preferred
We offer remote flexibility, with a preference for candidates local to Maryland.

Bonus Points

Federal contracting, government IT, or public sector implementation experience (U.S. federal preferred)
Active security clearance or ability to obtain one (TS/SCI a significant plus)
Experience with NLP, computer vision, or generative AI in regulated industries (healthcare, defense, finance)
Familiarity with federal AI policy frameworks: NIST AI RMF, OMB AI guidance, Executive Orders on AI
Founding engineer or startup experience — people who have built something from zero
Contributions to open-source AI projects or published applied research

Competencies & What They Look Like at iAdeptive

Competency

What It Looks Like at iAdeptive

Technical Credibility

Earns trust from engineers and scientists through depth of knowledge — demonstrates mastery by shipping, not presenting.

Strategic Thinking

Translates federal mission objectives into actionable AI architecture strategies, roadmaps, and prioritized backlogs.

Responsible Innovation

Proactively identifies ethical, equity, and safety considerations; champions responsible AI before clients ask for it.

Stakeholder Influence

Builds consensus across diverse stakeholders; communicates effectively with engineers, executives, and agency partners.

Accountability

Takes ownership of architecture decisions and outcomes; maintains clear ADRs, documentation, and decision rationale.

Adaptability

Rapidly assimilates emerging AI technologies and policy changes; adjusts iAdeptive's approach before the market catches up.

Collaboration

Partners effectively across iAdeptive teams, federal clients, systems integrators, and implementation partners.

Why iAdeptive

We are a federal technology company building AI systems at the intersection of mission impact and engineering excellence. You will have the autonomy of a founding engineer with the stability of the federal contracting market. The problems are hard. The data is real. The stakes matter.

Job Type: Full-time

Pay: From $140,000.00 per year

Benefits:

401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Professional development assistance
Vision insurance

Education:

Bachelor's (Required)

Experience:

software or ML engineering : 7 years (Required)

Work Location: Hybrid remote in Columbia, MD 21046

Quick Apply

Refine Your Search

ai/ml engineer jobs in arlington va

Lead AI Engineer

Industrial Engineer - AI Trainer

Hybrid Cloud Platform Engineer

Agentic AI Solution Engineer

AI Engineer Consultant

ML Engineer

Artificial Intelligence/Machine Learning (AI/ML) Engineer

Software Engineer, Intelligent Systems

DevSecOps Engineer

Lead Full-Stack Engineer

Geospatial Systems Software Engineer, Senior

Geospatial Systems Software Engineer, Senior

Senior Network Engineer - TS/SCI with Polygraph

Cross Domain Solutions (CDS) Engineer - TS/SCI

UX Manager - TS/SCI w/poly

Cloud Engineer Sr. Principal - TS/SCI with Polygraph

Identity and Directory Services Engineer - TS/SCI with Polygraph

Network Engineer - TS/SCI w/Poly

AI/ML Developer - AI Trainer

Skype for Business Engineer - TS/SCI w/Poly

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