AI/ML Delivery Engineer

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🔥 1 minute ago

🇺🇸 United States – Remote

💵 $153k - $207k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

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

• Architect and deliver end-to-end AI/ML and generative AI solutions across data integration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. • Design scalable, secure, governed AI/ML architectures for enterprise data management, cloud-native services, distributed computing, and high-performance workloads. • Develop and deploy production-ready solutions for large language models, intelligent search, workflow automation, model evaluation, monitoring, and optimization. • Integrate enterprise AI and cloud services with data platforms, security controls, governance frameworks, and operational processes. • Deliver solutions across NLP, computer vision, predictive analytics, intelligent search, multimodal AI, and medical AI applications. • Design secure APIs, integration services, data pipelines, and orchestration workflows. • Serve as AI/ML technical authority for cross-functional technical, business, and security teams. • Lead architecture reviews, AI readiness assessments, benchmarking, and infrastructure trade-off analyses. • Establish MLOps, LLMOps, and ModelOps practices covering CI/CD, experiment tracking, model registry, versioning, testing, deployment, rollback, monitoring, lineage, and cost optimization. • Define responsible AI controls for privacy, IAM, key management, audit logging, PHI/PII handling, explainability, model cards, bias/risk assessment, human oversight, and agentic guardrails. • Mentor engineers and data scientists and communicate complex AI concepts through solution narratives, diagrams, demonstrations, and executive-ready materials. • Support solutioning by shaping technical approaches, estimating delivery patterns, and contributing to client responses. • Support the NIH mission by delivering secure AI and data solutions that accelerate biomedical research and improve operational efficiency.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, or Data Science, or equivalent professional experience • 5+ years of related experience • Hands-on experience with enterprise data platforms and cloud-native data architectures • Experience with distributed data processing, data governance, machine learning lifecycle management, and batch and streaming data pipelines • Production experience developing, deploying, and supporting AI/ML and generative AI solutions • Experience with intelligent search, LLM applications, workflow automation, model serving, evaluation, monitoring, and continuous improvement • 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 • Knowledge of cloud-native AI services, identity and access management, networking, security, and infrastructure • Experience with large, complex, sensitive, or regulated datasets • Experience in data integration, migration, quality management, analytics, visualization, and governance • Excellent written and verbal communication skills • Must be able to obtain a Tier 3 Public Trust • Must be a US Person • Willingness to travel to NIH at applicant’s expense for onboarding • Ability to work 40 scheduled hours per week

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401K with company match • Competitive pay • Paid time off • Full-flex work week • Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • Ability to contribute pre-tax and post-tax dollars to 401(k) up to IRS annual limits • Company 401(k) match • Vacation, sick and personal time • Paid holidays • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • 15 days of paid leave per calendar year for new employees • Additional 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • AI-powered career tool identifying career steps and learning opportunities • Internal mobility team • Growth and learning opportunities • Award-winning culture of innovation • Military-friendly workplace