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Federal Solutions Engineer Jobs in Washington (NOW HIRING)

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust ... As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate ...

Comtech LLC

Solutions Engineer

Washington, DC · On-site

They are seeking a Solutions Engineer to lead a technical team in managing identification badge ... Federal Government, the Department of Defense and other Agencies. Founded in 1998, the company is ...

Cisco

Solutions Engineer

Arlington, VA · On-site

$218K - $286K/yr

... Federal Account Managers and industry partners to drive modernization. You will report to the ... Design secure and scalable solutions across networking, Zero Trust, and cloud environments that ...

Cisco

Solutions Engineer

Fulton, MD · On-site +1

$218K - $286K/yr

... Federal Account Managers and industry partners to drive modernization. You will report to the ... Design secure and scalable solutions across networking, Zero Trust, and cloud environments that ...

Cisco

Solutions Engineer

Fulton, MD · On-site

$218K - $286K/yr

... Federal Account Managers and industry partners to drive modernization. You will report to the ... Design secure and scalable solutions across networking, Zero Trust, and cloud environments that ...

Knight Federal Solutions, Inc.

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Full TimeKnight Federal Solutions is a trusted provider to industry leading prime contractors, the ... Job Purpose The Data Engineer at Knight Federal Solutions Inc will be responsible for designing ...

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AI Solutions Engineer

Washington, DC • On-site

Innodata Inc.
IT Services • 501 - 1,000 employees
Learn more about Innodata Inc.external

$75 - $80/hr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Configure and validate native AI-assistive features across platform components such as Dataset Explorer, DataCard Service, and Annotation Platform

  • Integrate and tune SAM 2 for full-motion video annotation, including object tracking, segmentation calibration, and confidence threshold configuration

  • Implement Frontier model API integration for synthetic data fidelity validation, including prompt engineering, response validation, and quality scoring

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

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

Hours and flexibility

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