Lead Artificial Intelligence (AI) Engineer

General Dynamics IT; Chantilly (VA); In loco; USD 160.000 - 210.000; Tempo pieno

Descrizione del lavoro

General Dynamics IT is seeking a Lead AI Engineer to serve as the AI lead across six Task Orders. You will guide AI/ML integration, model selection, and continuous improvement while collaborating with the PMO and Solution Architect on secure, scalable AI capabilities.

The role requires deep AI/ML expertise, systems thinking, and the ability to influence stakeholders in a complex program environment.

Competenze

• 5+ years of related experience
• US Citizenship required
• Top Secret SCI + Polygraph clearance currently possessable or obtainable

Mansioni

• Develop and maintain an AI/ML strategy for the portfolio
• Architect and guide AI/ML solutions into applications
• Lead AI model selection, deployment, monitoring, and retraining
• Drive MLOps, CI/CD, and modern engineering practices
• Ensure security, auditable, and compliant AI implementations
• Collaborate with TO leads and customer on capabilities adoption

Conoscenze

AI Concepts

AI Systems

Artificial Intelligence (AI)

Data Science

Machine Learning (ML)

Descrizione del lavoro

Type of Requisition: Pipeline

Clearance Level Must Currently Possess: Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Job Qualifications: Skills: AI Concepts, AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML) Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes

Job Description: Why GDIT

Are you ready to be a part of an elite team at GDIT, working on a large-scale, pioneering National Intelligence program? This is an incredible opportunity to immerse yourself into an environment that fuses innovation, speed, and security to safeguard our Nation.

At GDIT, you'll thrive in a dynamic and collaborative setting, where your technical skills will be both challenged and expanded. This program offers the chance to engage with cutting‑edge technologies and contemporary development practices in support of a vital mission. You'll play a critical role in addressing some of the most intricate security and operational challenges facing Intelligence and Homeland Security today.

Come join us and contribute to a mission that truly matters, while advancing your career alongside some of the brightest minds in the industry.

What You'll Achieve

The Lead AI Engineer will serve as the innovation and technical AI lead across a six-Task Order (TO) software-development IDIQ portfolio. Operating within the Program Management Office (PMO) and reporting directly to the Solution Architect, this role is responsible for:

• Rationalizing and optimizing the solution portfolio
• Guiding AI/ML and automation insertion across multiple TOs
• Driving continuous improvement in delivery processes and technical solutions
• Leading selection of AI models based on use case and performance requirements, including model optimization and tuning
• Exploring use of open-weight/open-source models to reduce token consumption across the program and TOs
• Collaborating with customer on adoption of new and emerging AI capabilities
• Ensuring cost, schedule, and performance objectives are met across completion‑based task orders

The ideal candidate combines deep AI/ML engineering expertise with strong systems‑thinking, software delivery experience, and the ability to influence stakeholders across a complex program environment.

Key Responsibilities

Portfolio-Level AI Leadership

• Develop and maintain an AI/ML strategy for the six-Task Order IDIQ portfolio, aligned with enterprise architecture and program objectives.
• Assess current systems and capabilities to identify opportunities for AI‑driven enhancements, cost savings, and performance improvements.
• Rationalize overlapping solutions and tools across task orders, driving reuse, common services, and standardized approaches to AI/ML.

AI Insertion & Technical Execution

• Architect and guide the design, development, integration, and deployment of AI/ML solutions (e.g., predictive analytics, NLP, recommendation engines, intelligent automation) into existing and new applications.
• Leverage GDIT enterprise accelerators-including ALAMO, Coral, and SDAF-to rapidly design, prototype, and operationalize AI capabilities across the portfolio.
• Coordinate with corporate reach‑back and centralized GDIT accelerator teams to ensure effective adoption, configuration, and continuous enhancement of ALAMO, Coral, and SDAF within program solutions.
• Partner with individual TO technical leads to define use cases, data requirements, model selection, training pipelines, and MLOps practices.
• Establish and enforce best practices for AI model lifecycle: experimentation, evaluation, deployment, monitoring, retraining, and retirement.
• Ensure AI solutions are secure, auditable, explainable, and compliant with applicable regulations and customer policies

Continuous Improvement & Innovation

• Drive continuous improvement across the portfolio by introducing modern engineering practices (MLOps, DevSecOps, CI/CD, infrastructure as code, automated testing, observability).
• Lead proof‑of‑concept and rapid prototyping efforts to validate new AI capabilities before scaling.
• Track industry trends and emerging AI technologies, and evaluate their applicability to the program.
• Define metrics and KPIs to measure the impact of AI initiatives on mission outcomes, user experience, and operational efficiency.

Legacy Transition & Modernization

• Lead technical planning and execution for transitioning legacy systems and workflows to modern architectures, including cloud‑native and AI‑enabled platforms.
• Perform technical and architectural assessments of legacy applications and data sources to inform migration and modernization strategies.
• Collaborate with PMO and TO leadership to sequence and manage transitions to minimize risk and disruption to operations.

Cost, Schedule, and Performance Management

• Support PMO and Solution Architect in estimating AI‑related work, defining sco