Senior AI/ML Delivery Architect

Join GDIT as a Senior AI/ML Delivery Architect and be at the forefront of driving artificial intelligence, machine learning, and data management innovations for the Department of Defense. As a key member of our team, you will leverage your exceptional project management skills, technical expertise, and experience with structured program management methodologies to deliver cutting-edge AI/ML capabilities on high-impact programs. With a strong background in AI/ML and a deep understanding of DOD platforms, processes, and technologies, you will collaborate with cross-functional teams, develop and execute project plans, and ensure timely and within-budget completion of AI/ML projects. As a leader in our organization, you will have the opportunity to contribute to internal research and development projects, mentor junior team members, and stay up-to-date with the latest industry trends and advancements in AI/ML. If you are a motivated and experienced AI/ML professional looking for a challenging and rewarding role, we invite you to apply for this exciting opportunity to shape the future of AI/ML delivery and make a meaningful impact in the DOD community.

In this role, a typical day will include:

• Drive the delivery of AI/ML capabilities on assigned programs, ensuring timely and within-budget completion
• Collaborate with program teams to develop and execute AI/ML project plans, including project scope, schedule, budget, and resource allocation
• Provide expert guidance on AI/ML project management, tracking, and execution, leveraging industry best practices and methodologies (e.g., Agile, Waterfall)
• Develop and maintain relationships with key stakeholders, including program managers, technical leads, and customers
• Identify and mitigate risks associated with AI/ML project delivery, developing and implementing mitigation strategies as needed
• Stay up-to-date with industry trends and advancements in AI/ML, applying this knowledge to improve project delivery and outcomes
• Contribute to Internal Research & Development projects, as assigned
• Conduct other Solution Architect duties, as assigned

Required Qualifications:

• Deep Department of Defense understanding and knowledge of platforms, processes, and technologies
• Bachelor's Degree in Computer Science, Engineering, AI, Data Science, or another STEM field, and 15 years of related experience in solution architecture, AI/ML, or information technology or the equivalent combination of education, professional training, or work experience in lieu of a degree. (A Master Degree counts toward 2 years of work experience).
• At least 5 years of experience in working with data, AI/ML
• Strong experience in translating user needs into validated and actionable requirements
• Proven excellence in delivering AI/ML projects, including project planning, tracking, and execution
• Strong understanding of AI/ML technologies, including machine learning, deep learning, natural language processing, and computer vision
• Experience in data modeling, engineering, and modern data structures (data lake, data lakehouse)
• Experience in Agile development methodologies, to include SaFE, and version control systems (e.g. Git)
• Excellent programming skills in languages, such as Python, R, Rust, SQL, Java, and C++
• Familiarity with AWS, Azure, or Google Cloud Platform and containerization technologies
• Familiarity with Kubernetes-based services
• Security Clearance: Candidate must have an active Top Secret (TS) security clearance with eligibility to obtain and maintain Secure Compartmented Information (SCI) access
• US Citizen

Soft Skills:

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
• Strong problem-solving and analytical skills, with the ability to think critically and creatively
• Ability to work in a fast-paced environment, prioritizing multiple tasks and deadlines
• Strong leadership and mentoring skills, with the ability to guide junior team members

Program Management Skills:

• Experience with structured program management methodologies, including project planning, tracking, and execution
• Familiarity with gate review processes, technical review boards, and risk management frameworks
• Ability to develop and execute project plans, including scope, schedule, budget, and resource allocation
• Strong understanding of project management principles, including earned value management, scheduling, and cost control

Desired Technologies, Techniques, and Frameworks:

• Date warehousing and streaming and batch technologies
• Generative AI, to include agentic workflows, model context protocol servers
• Metadata and schema design
• Data correlation and enrichment best practices
• Data Science analytics dataset management
• Data visualization
• REST, gRPC, GraphQL, API-based web services
• Data-centered analytics development technologies, such as TensorFlow, PyTorch, and scikit-learn
• ITIL-based service center delivery

Work Requirements