Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

Other

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

AI Platforms, Artificial Intelligence (AI), Machine Learning (ML), ML Frameworks

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

The Lead AI/ML Solution Architect is responsible for driving multiple customer solution design projects in parallel, focusing on cutting-edge Artificial Intelligence and Machine Learning applications. This role requires conducting comprehensive business and technical discovery with customers to identify novel AI/ML solutions, architectures, and use cases that directly support customer objectives and drive program success.

HOW A LEAD AI/ML ARCHITECT WILL MAKE AN IMPACT

• Provide robust, data-driven recommendations for AI/ML engagements, clearly identifying critical dependencies, gaps, and risks.
• Utilizing a balanced mix of business acumen and deep technical expertise to articulate high-level AI/ML solutions to complex business problems and quantitatively tie these solutions to program success criteria.
• Architect enterpriselevel AI/ML solutions including predictive analytics, NLP, computer vision, and generative AI.
• Collaborate with Agile teams to ensure AI/ML designs integrate smoothly with system architecture and DevSecOps pipelines.

WHAT YOU92LL NEED TO SUCCEED

Education

• Bachelor92s degree in Data Science, Computer Science, Engineering, or a related technical field.
• Advanced degree preferred for work involving complex AI model design.

Experience

• 5 years of progressively responsible experience designing, developing, and deploying enterprise-level AI/ML solutions.
• Proven ability to lead and drive multiple parallel, complex customer AI/ML solution design projects from inception to quote.
• A track record of finding, proposing, and architecting novel AI/ML solutions, architectures, and use cases (e.g., predictive modeling, natural language processing, computer vision, generative AI).
• Proficiency in conducting rigorous cost-benefit analysis and Total Cost of Ownership (TCO) for modern, state-of-the-art AI/ML information systems.

TECHNICAL SKILLS

• Expertise in ML frameworks such as TensorFlow, PyTorch, and Scikitlearn.
• Handson experience with modern cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI).
• Understanding of model governance, explainability, monitoring, and responsible AI practices.
• Strong knowledge of data engineering, feature pipelines, and training workflows.
• Ability to design AI/ML deployment patterns within CI/CD and DevSecOps environments.

SKILLS & ABILITIES

• Exceptional communication skills for presenting complex AI concepts to technical and nontechnical audiences.
• Strong leadership abilities and a collaborative approach across multidisciplinary Agile teams.
• Strategic problemsolving skills to translate business challenges into measurable AI opportunities.
• Ability to identify and mitigate risks related to data, models, security, and operational performance.
• Comfort balancing innovation with practical constraints and realworld mission needs.

SECURITY CLEARANCE LEVEL: Ability to pass a security background check

Location: remote, with some travel

Timeline: Contingent posting, anticipated starting August 2026.

The likely salary range for this position is $128,039 - $173,228. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee92s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.