Top 1790 Ai/ml engineer Jobs in Washington, Dc 20001

Director of R&D, TS/SCI clearance
Prominent Edge —Washington, DC
- $170,000 - $200,000 a year
- Full-time
- Hybrid work
- Background check
- Azure
- DevOps
- Health insurance
- Dental insurance
Quick Apply
AI/ML Developer - AI Trainer
DataAnnotation —Chantilly, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
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AI/ML Engineer
Vantor Services Inc. —McLean, VA
- $113,000 - $165,000 a year
- Full-time
- 6 years
- Doctoral degree
- Computer Science
- 401(k) matching
- Pet insurance
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Software Engineer
Metron —Reston, VA
- Computer Science
- Mid-level
- Office
- Profit sharing
- Paid parental leave
AI Platform and DevSecOps Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- Computer Science
- Mid-level
- Windows
- Disability insurance
- Health insurance
AI / ML Engineer
Accenture Federal Services —Chantilly, VA
- $120,500 - $221,800 a year
- Mid-level
- SQL
- Bachelor's degree
AI Engineer – Entry Level
Centennial Technologies —Tysons Corner, VA
- Full-time
- Hybrid work
- Azure
- Computer Science
- HIPAA
- Paid training
- Paid holidays
AI/ML Engineer
The Nuclear Company —Washington, DC
- $121,000 - $165,000 a year
- Computer Science
- 5 years
- Mid-level
- Health insurance
- Dental insurance
8d
Junior AI Engineer
Targeted Victory —Arlington, VA
- Computer Science
- SQL
- Bachelor's degree
AI Solution Engineer
Hewlett Packard Enterprise —Washington, DC
- $152,000 - $349,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
AI/ML Engineer
Peraton —Herndon, VA
- $135,000 - $216,000 a year
- System design
- Office
- Java
- Health savings account
- Paid holidays
12d
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
12d
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
12d
Advisor Software Engineer (AI/ML)
Fannie Mae —Reston, VA
- $155,000 - $209,000 a year
- Full-time
- 6 years
- Computer Science
- Office
6d
Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)
IvoryCloud —Rockville, MD
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- 5 years
- Bachelor of Science
- Office
- Health insurance
- 401(k)
Quick Apply
13d
Senior Software Engineer (Gen AI)
Freddie Mac —McLean, VA
- $129,000 - $193,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
12d
Senior Agentic AI Full Stack Software Engineer
General Dynamics Information Technology —Arlington, VA
- $148,750 - $201,250 a year
- Computer science
- Computer Science
- Bachelor's degree
- Paid time off
- 401(k) matching
12d
GenAI Data Automation Engineer
System One —Washington, DC
- $48.95 an hour
- Contract
- Remote
- Computer science
- Azure
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Distinguished AI Engineer
Capital One —McLean, VA
- Email
- Azure
- 6 years
- Computer Science
- Health insurance
Lead AWS Software Engineer (AI and DevOps SME)
Fannie Mae —Reston, VA
- $141,000 - $184,000 a year
- Full-time
- System design
- Office
- SQL
2d

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Director of R&D, TS/SCI clearance

Prominent Edge
Washington, DC

Quick Apply

Job Details

Full-time | Contract
$170,000 - $200,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Flexible schedule
Referral program

Qualifications

Data engineering
Containerization systems
Government information & network security
CI/CD
Top Secret Clearance
Software engineering
Customer relationship building
Azure
FedRAMP
Continuous Delivery (CD) implementation
NIST SP 800-53
RESTful API
Tooling
Software coding
Software deployment
Infrastructure as Code (IaC)
DevOps
Client relationship development
Security compliance frameworks implementation
Java
Infrastructure architecture design
Microservices
Information security compliance
Team development
Production systems
Cloud engineering team management
AWS
Bachelor's degree
Terraform
Regulatory Frameworks (Architecture security)

Full Job Description

As Director, US R&D, you will build GovCloud-native engineering capability purpose-built to serve US federal customers at the highest classification levels.
You will own the migration of a platform to a US Government Cloud environment, build and lead the US engineering team, and serve as the primary technical interface between federal agency customers and a global product and engineering organization.
What You'll Do
Establish R&D Function

Define the structure, processes, and operating model for R&D team.
Hire, mentor, and grow a high-performing team of cleared engineers and DevOps practitioners.
Integrate the new R&D function with current commercial and business development operations.
Partner closely with global R&D leadership to align the US team with the broader engineering roadmap and architecture.

Lead the GovCloud Migration

Own the end-to-end technical migration of Windward's Maritime AI™ platform to a US GovCloud environment (AWS GovCloud, Azure Government, or equivalent).
Architect and implement cloud infrastructure that meets FedRAMP, IL4/IL5, CMMC, NIST 800-53, and other applicable federal compliance frameworks.
Build and maintain the full DevOps pipeline — CI/CD, infrastructure-as-code, container orchestration, observability, and incident response — within a cleared, controlled environment.
Ensure the migrated platform meets all security, availability, and performance SLAs required for federal production deployments.

Develop and Maintain the Solution

Contribute hands-on development and technical design to platform features, integrations, and capability enhancements for the US federal market.
Maintain, support, and continuously improve the live US production environment, acting as the escalation owner for critical issues.
Establish engineering best practices, documentation standards, and operational runbooks for the US environment.
Identify opportunities to adapt global platform capabilities to the specific operational and mission requirements of US federal customers.

Own the Customer Technical Relationship

Serve as the primary technical point of contact for US federal agency customers, owning the relationship from deployment through ongoing operations.
Translate mission requirements and customer feedback into concrete engineering priorities for the global R&D team.
Lead technical reviews, architecture sessions, and capability briefings with federal stakeholders, including program managers, technical leads, and senior agency officials.

What Success Looks Like

Windward's platform is fully operational in a US GovCloud environment, cleared and compliant for federal production use within the first year.
A high-performing, cleared US R&D team is in place and executing at the standard Windward is known for globally.
US federal customers experience seamless, secure deployments and feel the Windward team is a true mission partner — not just a vendor.
The US R&D function operates as a first-class node in Windward's global engineering organization, contributing capability and insight back to the product.

Requirements
Agentic-First Mindset

Deeply committed to agentic ways of working — you default to automation, not manual process, and bring that instinct into everything you build and lead.
Hands-on experience with AI coding and agentic development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent — and a track record of embedding these into engineering workflows.
Proven ability to drive an engineering organization toward full agentic operations: automated pipelines, self-healing infrastructure, AI-assisted development, and continuous autonomous testing and deployment.
Passion for pushing the boundaries of what engineering teams can automate — and the credibility to bring a team along on that journey.

Experience

10+ years of combined software engineering, DevOps, and cloud infrastructure experience, with at least 3–5 years in a senior technical leadership role.
Proven, hands-on experience deploying and operating workloads in US GovCloud environments (AWS GovCloud, Azure Government, or equivalent).
Strong developer background with proficiency in at least one modern language (Python, Go, Java, or similar) and cloud-native, microservices architectures.
Experience building or leading technical teams in cleared environments, including hiring for and maintaining security clearances.
Demonstrated track record as a customer-facing technical leader, comfortable engaging with senior government stakeholders at program and executive levels.

Technical Depth

Deep knowledge of federal compliance frameworks: FedRAMP, NIST 800-53, IL4/IL5, CMMC, and/or ITAR.
Hands-on expertise with Kubernetes, Terraform, GitOps pipelines, and modern observability tooling in restricted or air-gapped environments.
Familiarity with data fusion architectures, multi-source intelligence platforms, or AI/ML deployment in CUI or classified environments — a strong advantage.
Comfort with REST APIs, data engineering, and cloud security fundamentals (identity, access controls, encryption at rest and in transit).
Experience integrating with or deploying Palantir platforms (Gotham, Foundry, AIP) in federal environments — a significant advantage. Former Palantir employees are strongly encouraged to apply.

Clearance & Eligibility

Active Top Secret; TS/SCI .
Willingness to support clearance upgrades as required by the mission.

Leadership & Culture

Builder mindset — energized by creating from scratch, comfortable navigating ambiguity, and focused on outcomes over process.
Exceptional communicator — credible with mission operators, technical peers, and C-level executives alike.
Team-first orientation — collaborative, transparent, and invested in the growth of the people around you.
Aligned with Windward's mission: delivering intelligence that matters, to people whose decisions matter.

Why Prominent Edge
As the Director of US R&D, you won't be inheriting someone else's roadmap. You'll be writing it. If the idea of standing up a cleared engineering team, migrating a production AI platform to GovCloud, and becoming the technical face of that work to some of the most consequential customers in the world sounds like the role you've been waiting for — we'd like to meet you.

Job Types: Full-time, Contract

Pay: $170,000.00 - $200,000.00 per year

Benefits:

401(k)
Dental insurance
Flexible schedule
Health insurance
Paid time off
Referral program
Vision insurance

Education:

Bachelor's (Preferred)

Experience:

CI/CD: 8 years (Preferred)
DevOps: 8 years (Preferred)

Security clearance:

Top Secret (Preferred)

Work Location: Hybrid remote in Washington, DC 20006

Quick Apply

Refine Your Search

ai/ml engineer jobs in washington, dc 20001

Director of R&D, TS/SCI clearance

AI/ML Developer - AI Trainer

AI/ML Engineer

Software Engineer

AI Platform and DevSecOps Engineer

AI / ML Engineer

AI Engineer – Entry Level

AI/ML Engineer

Junior AI Engineer

AI Solution Engineer

AI/ML Engineer

Senior Agentic AI/ML Engineer

Senior Agentic AI/ML Engineer

Advisor Software Engineer (AI/ML)

Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)

Senior Software Engineer (Gen AI)

Senior Agentic AI Full Stack Software Engineer

GenAI Data Automation Engineer

Distinguished AI Engineer

Lead AWS Software Engineer (AI and DevOps SME)

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