AI/ML Delivery Engineer

Job not on LinkedIn

🕒 August 6

🇺🇸 United States – Remote

💵 $153k - $207k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 the full lifecycle • Design scalable, secure, and 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 natural language processing, computer vision, predictive analytics, intelligent search, multimodal AI, and mission-focused applications • Design secure APIs, integration services, data pipelines, and orchestration workflows • Serve as AI/ML technical authority for cross-functional technical and business teams • Lead architecture reviews, AI readiness assessments, performance benchmarking, and infrastructure trade-off analysis • Establish MLOps, LLMOps, and ModelOps practices for testing, deployment, monitoring, lineage, rollback, 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 guardrails • Mentor engineers and data scientists • Communicate complex AI concepts through solution narratives, architecture diagrams, demonstrations, and executive-ready materials • Support solutioning by shaping technical approaches, estimating delivery patterns, and contributing to client responses • Travel to NIH at the applicant’s expense for onboarding if selected

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, 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 • Experience with cloud-native AI services, identity and access management, networking, security, and infrastructure • Experience working with large, complex, sensitive, or regulated datasets • Experience with 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 • Must currently possess no security clearance; no clearance required to obtain beyond stated Public Trust • Travel to NIH at applicant’s expense for onboarding if selected

🏖️ Benefits

• Comprehensive benefits and wellness packages • 401K with company match • Competitive pay • Paid time off • Full-flex work weeks • 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 • 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, prorated based on date of hire • 10 additional paid holidays per year, prorated based on date of hire • 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 supporting career goals • Full-flex work week • Award-winning culture of innovation • Military-friendly workplace