AI Discipline Lead: Autonomous Systems & Analytics

RTX Corporate

East Hartford (CT)

Hybrid

USD 157,000 - 299,000

Full time

7 days ago
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Benefits offered by this job

compensation
healthcare
wellness
retirement and work/life benefits
career development and recognition
parental leave
flexible work schedules
achievement awards
educational assistance
child/adult backup care

Job summary

RTX Corporate in East Hartford, CT is seeking a Discipline Leader for Artificial Intelligence to provide technical leadership in autonomous systems, advanced analytics, and AI engineering. You will shape strategy, mentor staff, manage labs and budgets, and partner with RTX business units on innovative AI solutions.

The role emphasizes staffing plans, external partnerships, and delivering high-impact research initiatives with government and industry collaborators. Hybrid work is required.

Qualifications

  • Bachelor’s or higher with extensive AI-related research experience.
  • Advanced degree with 10+ years in applied research preferred.

Responsibilities

  • Owns, develops, and executes on long-term strategy and operational direction for the discipline.
  • Ensure best in class technical assets and discipline health to perform world class research programs.
  • Think strategically about next-generation technologies.
  • Responsible for creating workforce and staffing plans.
  • Support engagement with RTX business units and develop technical solutions.
  • Support external Customer Research & Development (CRAD) awards with government agencies.
  • Manage project financials and mentor others in doing so.
  • Communicate with and influence executive leadership.

Skills

AI experience
Leadership
Strategic thinking
Communication
Mentoring

Education

University degree
Advanced degree

Job description

RTX Corporate in East Hartford, CT is seeking a Discipline Leader for Artificial Intelligence to provide technical leadership in autonomous systems, advanced analytics, and AI engineering. You will shape strategy, mentor staff, manage labs and budgets, and partner with RTX business units on innovative AI solutions.

The role emphasizes staffing plans, external partnerships, and delivering high-impact research initiatives with government and industry collaborators. Hybrid work is required.

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