AI/ML Delivery Engineer

General Dynamics Information Technology

AI/ML Delivery Engineer at GDIT designing and implementing AI solutions for biomedical research. Leading architecture, technical solutions, and advancing data-driven decision-making in healthcare.

Posted 7/16/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorLead💰 $164,382 - $207,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering AI/ML solutions, with a strong focus on MLOps, LLMOps, and ModelOps practices. Proven ability to mentor teams and lead architecture reviews while managing complex data environments in cloud settings.

Highest-signal resume keywords

AI/ML Solution DevelopmentMLOps PracticesCloud-Native Data ArchitecturesMachine Learning FrameworksData Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML SolutionsGenerative AIData Pipeline DesignAPI DesignCloud EnvironmentsDeep Learning FrameworksData ArchitecturePerformance BenchmarkingExperiment TrackingCost Optimization

Soft Skills

MentoringCommunication

Certifications & Qualifications

Master of Science in Computer ScienceMaster of Science in Information TechnologyMaster of Science in EngineeringMaster of Science in Mathematics/StatisticsMaster of Science in BioinformaticsMaster of Science in Data Science

Industry Keywords

Enterprise AIMachine LearningData ProductsCross-Functional TeamsTechnical AuthorityCI/CDRegulated Datasets

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Design, build, and scale enterprise AI, ML, and data products across cloud environments
Architect and deliver end-to-end AI/ML and generative AI solutions
Design secure application programming interfaces (APIs), integration services, data pipelines, and orchestration workflows
Serve as the AI/ML technical authority for cross-functional teams
Lead architecture reviews, AI readiness assessments, performance benchmarking
Establish MLOps, LLMOps, and ModelOps practices for CI/CD, experiment tracking, and cost optimization
Mentor engineers and data scientists
Support solutioning activities by shaping technical approaches

Requirements

What you’ll need

10+ years of related experience
Education: Master of Science in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience
Hands-on experience with modern enterprise data platforms and cloud-native data architectures
Production experience developing, deploying, and supporting AI/ML and generative AI solutions
Experience with modern machine learning and deep learning frameworks, libraries, and tools
Experience designing, deploying, and managing AI/ML solutions in one or more major cloud environments
Experience working with large, complex, sensitive, or regulated datasets
Excellent written and verbal communication skills

Benefits

Comp & perks

Comprehensive benefits and wellness packages
401K with company match
Competitive pay and paid time off
Full-flex work week to own your priorities at work and at home
15 days of paid leave per calendar year for vacations, personal business, and illness
10 paid holidays per year
Paid parental, military, bereavement, and jury duty leave
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, and critical illness insurance