AI/ML Technical Lead

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $153k - $207k / year

⏰ Full Time

🟠 Senior

🤖 AI 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

• Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges • Serve as the technical lead for AI/ML strategy, architecture, and implementation across the program • Design and deploy scalable AI/ML models in support of the CMS mission • Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems • Integrate AI solutions into secure enterprise and tactical environments • Ensure compliance with CMS cybersecurity and data governance standards • Provide oversight of data engineering pipelines and model lifecycle management (MLOps) • Develop and maintain model validation, explainability, and bias mitigation practices • Advise program leadership and stakeholders on emerging AI technologies and mission applications • Support transition of experimental or prototype AI capabilities into operational production systems • Integrate security, ethical, and data governance requirements directly into AI development workflows • Drive AI security risk management by assessing threats and producing required ATO, configuration management, and incident response documentation • Mentor junior engineers and provide technical leadership across cross-functional teams

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master’s or PhD preferred) • 10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines, including hands-on experience with modern AI technologies • 5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments • Proficiency in programming languages such as Python, R, and/or Java • Deep understanding of machine learning frameworks such as TensorFlow or PyTorch, preferably implemented within AWS SageMaker • Experience integrating AI/ML capabilities into secure enterprise environments and adhering to cybersecurity, data governance, and compliance requirements • Experience developing AI products or functional prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies • Experience working with cloud computing platforms (AWS preferred; Azure or Google Cloud acceptable) and using AI services such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI • Candidate must be able to obtain Public Trust clearance • Candidate must have lived in the United States at least three (3) out of the last five (5) years

🏖️ Benefits

• Health insurance • 401(k) with company match • Paid time off • Variety of medical plan options • Dental plan options • Vision plan • Flexible work weeks • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • Short and long-term disability benefits • Life and accident insurance • Critical illness insurance • Business travel insurance • Time off packages