AI Engineer

SUNAYU

AI Engineer supporting the development and operationalization of AI systems in production for Sunayu, LLC. Collaborating with teams to create innovative, production-ready algorithms and platforms.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operationalizing AI and agentic AI systems, with a strong focus on collaboration within multidisciplinary teams to deliver innovative analytics solutions. Proficient in AI/ML production engineering, statistical analysis, and advanced analytical methodologies relevant to mission environments.

Highest-signal resume keywords

AI/ML Production EngineeringStatistical AnalysisPython DevelopmentActive Top Secret ClearanceKubernetes-Based AI Deployments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive AnalyticsEntity ResolutionGraph AnalyticsExplainable AIOperational AnalyticsGPU Inference OptimizationNLPClassification AlgorithmsImage Processing

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

Azure/C2SOpenAI-Compatible APIsMLOpsRAG ArchitecturesAI Orchestration Frameworks

Certifications & Qualifications

Top Secret ClearanceEligibility for TS/SCI with Polygraph

Industry Keywords

MilitaryIntelligence CommunityQuantitative Intelligence AnalysisData EngineeringDevSecOps

Tech Stack

Tools & technologies

AzureCyber 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 and 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, developing analytics and AI/ML solutions (4+ years with a Master’s)
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, and Python development.
Experience with GPU inference optimization.
Preferred Qualifications: Experience supporting military or intelligence community customers.
Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).

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)