AI/ML Delivery Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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

• 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

• 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