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Ai Solutions Engineer Jobs in Washington (NOW HIRING)

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and ...

Amentum

AI Solutions Engineer

Chantilly, VA · On-site

$170K - $210K/yr

We are seeking an experienced AI Solutions Engineer with a high-level active security clearance to join our team in Chantilly, Virginia. The successful candidate will lead the development and ...

Bechtel

AI Solutions Engineer

Reston, VA · On-site

The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and ...

Bechtel

AI Solutions Engineer

Reston, VA

The AI Solutions Engineer will serve as the technical quality authority within the AI programme, responsible for establishing and enforcing AI coding standards, validating machine learning models and ...

Nakupuna Companies

AI Solutions Engineer

Arlington, VA · On-site

$115 - $145/hr

Overview Nakupuna Consulting seeks an AI Solutions Engineer for an Amazon Web Services (AWS) environment with strong technical expertise in constructing, developing and extending Retrieval-Augmented ...

Pae

AI Solutions Engineer

Chantilly, VA · On-site

$170K - $210K/yr

We are seeking an experienced AI Solutions Engineer with a high-level active security clearance to join our team in Chantilly, Virginia. The successful candidate will lead the development and ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site

$85K - $105K/yr

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This ...

TekSynap

AI Solutions Engineer

Washington, DC · On-site

$160 - $190/hr

Proven track record of application engineering, providing strategic direction, and fostering a collaborative and innovative work environment. Overview We are seeking an AI Solutions Engieer to join ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This ...

TekSynap

AI Solutions Engineer

Washington, DC · On-site

$160K - $190K/yr

Proven track record of application engineering, providing strategic direction, and fostering a collaborative and innovative work environment. Overview We are seeking an AI Solutions Engieer to join ...

A-TEK Inc.

Federal AI Solutions Engineer

Mclean, VA · On-site +1

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This ...

DataRobot

Senior AI Solutions Engineer - Federal

Washington, DC · On-site +1

$62.50 - $80.75/hr

The Pre-Sales AI Solutions Engineer for the Federal Sector plays a mission-critical role in helping U.S. federal agencies adopt, scale, and derive value from DataRobot's Predictive, Generative, and ...

DataRobot

Senior AI Solutions Engineer - Federal

Washington, DC · On-site +1

$62.50 - $80.75/hr

The Pre-Sales AI Solutions Engineer for the Federal Sector plays a mission-critical role in helping U.S. federal agencies adopt, scale, and derive value from DataRobot's Predictive, Generative, and ...

Bakertilly

AI Solutions Engineer

Washington, DC · On-site

$17.50 - $23.25/hr

AI Solutions Engineer Are you passionate about business and technology coming together to deliver the future of finance and accounting services to a variety of clients? Would you like to work with ...

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All JobsAi Solutions Engineer JobsAi Solutions Engineer Jobs in Washington

Ai Solutions Engineer information

See Washington salary details

$50.4K

$139.6K

$205.6K

How much do ai solutions engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai solutions engineer in Washington is $139,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $159,100.00 per year, depending on experience, location, and employer.

What is an AI Solutions Engineer?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as an AI Solutions Engineer, and why are they important?

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What is the difference between Ai Solutions Engineer vs Data Scientist?

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

What are popular job titles related to Ai Solutions Engineer jobs in Washington?

For Ai Solutions Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Engineer jobs in Washington look for?

The top searched job categories for Ai Solutions Engineer jobs in Washington are:

What cities in Washington are hiring for Ai Solutions Engineer jobs?

Cities in Washington with the most Ai Solutions Engineer job openings:

Ai Solutions Engineer jobs near you
Infographic showing various Ai Solutions Engineer job openings in Washington as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $139,631 per year, or $67.1 per hour.

AI Solutions Engineer

Innodata Inc.

Washington, DC • On-site

$75 - $80/hr

Full-time

Re-posted 17 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th of 246 rated software companies

Job description

About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production.

Key Responsibilities:

  • Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)
  • Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration
  • Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring
  • Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion
  • Implement ICAM / OIDC authentication integration with AFS identity framework
  • Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate
  • Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate
  • Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C

Must-Have Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 6+ years total professional experience, 4+ years hands-on AI/ML engineering
  • SAM 2 or equivalent foundation model integration for computer vision or video annotation
  • Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines
  • Python - strong, production-grade; comfortable with ML tooling and data pipeline development
  • Experience configuring AI-assistive features in annotation platforms or ML data tooling
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • CVAT annotation platform - AI feature configuration and operation
  • DoD or IC data program experience: CUI, distribution statements, federal data governance
  • Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality - and understands that in a federal data environment, every AI decision needs an audit trail.

What Innodata employees say

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