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AI Specialist

Job in Johnstown, Bibb County, Alabama, USA
Listing for: Leonardo DRS
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 105000 - 185000 USD Yearly USD 105000.00 185000.00 YEAR

Job Description & How to Apply Below

Location: Johnstown

Job

The Leonardo DRS Naval Electronics business provides leading naval computing infrastructure, network and data distribution and middleware enterprise services, as well as world-class manufacturing and support capabilities.

Business Unit:
Naval Electronics

Location:

Johnstown, PA / Twin Cities, MN / Largo, FL / Frederick, MD
Career

Functional Area:

Operational Excellence
Telework Type:
Hybrid
Type:
Full Time

Schedule:

9/80

Job Summary

The AI Specialist leads Naval Electronics artificial intelligence (AI) initiatives within Operational Excellence. The role defines a practical AI roadmap, develops agents, reusable skills, and prompts, and delivers capabilities that address business needs across a low-volume, high-mix, project-oriented environment.

The position coordinates business and technical stakeholders and helps establish controlled processes for the design, evaluation, approval, release, and ongoing improvement of AI tools. It supports responsible adoption by documenting limitations, maintaining appropriate human oversight, and aligning solutions with applicable company requirements.

Core Compentencies
  • Sound judgment and accountability
  • Technical curiosity and disciplined experimentation
  • Clear documentation and communication
  • Collaboration across technical and business teams
  • Continuous improvement and user-centered delivery
Job Responsibilities
  • Lead the Naval Electronics AI initiative portfolio, translating business needs into a prioritized roadmap of practical, measurable use cases.
  • Design, develop, test, and maintain AI agents, reusable skills, prompts, and supporting workflows for authorized business-unit use.
  • Establish documented intake, design, evaluation, approval, release, change-control, and retirement processes for AI tools in collaboration with responsible functions.
  • Coordinate with business leaders, program teams, engineering, operations, supply chain, IT, cybersecurity, legal, and other stakeholders as appropriate to define requirements and adoption plans.
  • Assess candidate solutions for data suitability, output quality, reliability, security, human oversight, and operational fit before release.
  • Define evaluation criteria and acceptance tests, document limitations, and monitor released capabilities for performance, drift, and user feedback.
  • Apply applicable company policies and approved controls governing sensitive information, access, records, and use of AI systems; elevate unresolved issues to the appropriate owners.
  • Create clear user guidance, training materials, and prompt/skill standards that promote safe, consistent, and effective use.
  • Partner with process owners to integrate AI capabilities into low-volume, high-mix, project-oriented workflows without obscuring decision ownership or traceability.
  • Communicate initiative status, risks, benefits, and adoption measures to the Director of Operational Excellence and relevant stakeholders.
  • Improve the AI delivery lifecycle through lessons learned, reusable components, and controlled experimentation with emerging tools.
Required Qualifications
  • Bachelor's degree in engineering or related technical field with a minimum of five years experience
  • Training and practical experience developing, evaluating, and deploying AI-enabled tools, including agents and prompt-based workflows.
  • Ability to translate business problems into requirements, prototypes, test plans, documentation, and supportable releases.
  • Working knowledge of AI limitations, data handling, access controls, human review, and risk-based governance in an enterprise setting.
  • Strong cross-functional communication, stakeholder coordination, and process-improvement skills.
Preferred Qualifications
  • Knowledge of defense electronics manufacturing and its engineering, supply chain, quality, or…
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