AI Engineer

SUNAYU

AI Engineer supporting development and operationalization of AI systems. Collaborating with teams to deliver analytics solutions in a mission-centric environment.

Posted 7/20/2026full-timeAlexandria • Virginia • 🇺🇸 United StatesSeniorLead💰 $131,300 - $237,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and agentic AI systems development, with a strong foundation in statistical analysis, predictive analytics, and AI/ML production engineering. Proven ability to collaborate with multidisciplinary teams to deliver innovative, user-friendly analytical platforms in fast-paced environments.

Highest-signal resume keywords

AI/ML Production EngineeringStatistical AnalysisPredictive AnalyticsPython DevelopmentActive Top Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceQuantitative Intelligence AnalysisEntity ResolutionGraph AnalyticsExplainable AIOperational AnalyticsKubernetes-Based AI DeploymentsOpenAI-Compatible APIsGPU Inference OptimizationRAG Architectures

Soft Skills

CollaborationProblem SolvingInnovation

Tools & Technologies

DevSecOpsData EngineeringPlatform EngineeringCybersecurityObservability

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreeTop Secret Clearance

Industry Keywords

AI SystemsAgentic AIAnalytical PlatformsHybrid TeamsComplex Challenges

Tech Stack

Tools & technologies

Cyber SecurityKubernetesPythonTypeScript

About the role

Key responsibilities & impact

Support the development and operationalization of AI and agentic AI systems in production mission environments
Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges
Deliver innovative, production-ready algorithms and platforms
Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics
Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment

Requirements

What you’ll need

Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.)
12+ years of experience in data science, analytics, or quantitative intelligence analysis
Active Top Secret clearance and eligibility for TS/SCI with Polygraph
Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms
Experience with AI/ML production engineering, LLMOps / MLOps, RAG architectures, AI orchestration frameworks, Kubernetes-based AI deployments, OpenAI-compatible APIs, Python development, GPU inference optimization

Benefits

Comp & perks

3 Medical Plan Options
Dental and Vision
FSA, DCFSA, HSA
Life/AD&D Insurance
Short-Term & Long-Term Disability
Employee Assistance Program (EAP)
Training and Educational Assistance
Paid Time Off (PTO)
11 Federal holidays
401k plan with up to a 6% match (100% immediate vesting)