Sr. Scientist, Artificial Intelligence 1:L3Harris
Sep 22, 2025 |
Location: Plano, TX; Palm Bay, FL; Greenville, TX; Anaheim, CA; or Camden, NJ |
Deadline: Not specified
Experience: Senior
Continent: North America
Salary: $162,500 to $315,000 Yearly.
The Artificial Intelligence Director will be responsible for defining and leading the AI integration strategy across the IMS Segment and will serve as the division's senior AI leader, reporting directly to the Sr. VP of Engineering & Programs. This role is responsible for defining, driving, and overseeing AI strategy across products, business operations, and organizational adoption. The Director will lead a team of AI professionals, partner with executives, and act as a change agent and thought leader for AI across the enterprise.
Important Notes:
This position has a 9/80 work schedule.
U.S. Citizenship is required.
Applicants must be active or eligible for a DoD security clearance (Secret or above).
Responsibilities (Essential Functions):
Strategic Leadership: Define and execute a division-wide AI strategy and roadmap, partner with executive leadership to identify high-value AI opportunities, and serve as the division's top technical authority for AI.
Execution & Technical Leadership: Manage the technical development of AI-centric solutions from conception to deployment, maintain a prioritized roadmap of AI initiatives, perform gap analyses, and provide a clear understanding of the ROI of AI investments.
People & Organizational Leadership: Lead, mentor, and grow a team of AI scientists and engineers, drive AI literacy across the division's workforce, and champion a culture of responsible and ethical AI adoption.
Requirements (Qualifications):
Bachelor's Degree and a minimum of 15 years of prior relevant experience OR a Graduate Degree and a minimum of 13 years of prior related experience.
Proven experience in AI/ML leadership roles, with a track record of shaping and executing AI strategy at an enterprise level.
Deep technical foundation in AI/ML (e.g., computer vision, NLP/LLMs, multimodal AI, reinforcement learning, edge AI).
Experience with the full life cycle of AI development, associated software stacks, and infrastructure.
Experience influencing senior leaders and communicating AI value and risks to technical and non-technical audiences.
Preferred Qualifications:
Advanced degree (M.S./Ph.D.) in AI/ML, Computer Science, Engineering, or a related technical field.
Experience with AI compliance/ATO processes and deployment in classified environments.
Recognition as an AI thought leader (e.g., publications, patents, conference presentations).
Background in defense, aerospace, or adjacent mission-critical industries.
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