Associate Director, AI for Manufacturing and Operations
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Job Description
AI Subject Matter Expert at RTX developing scalable AI solutions for manufacturing and operations. Collaborating with teams to enhance productivity, quality, and decision-making in factories.
Responsibilities:
- Partner with manufacturing engineering, operations, supply chain, Sales, Inventory, and Operations Planning (SIOP), quality, and digital transformation teams to identify high-value AI use cases.
- Translate complex AI/ML concepts into clear, actionable factory solutions for non-technical stakeholders.
- Evaluate current processes and determine where AI can meaningfully augment automation, analytics, maintenance, and production systems.
- Architect AI-driven tools and workflows in areas such as predictive maintenance, defect detection, digital twins, scheduling optimization, and intelligent automation.
- Guide teams through data readiness requirements, model selection, feasibility trade-offs, and integration constraints.
- Work with product teams and external vendors to assess technologies, shape roadmaps, and ensure alignment with factory needs and enterprise standards.
- Develop and execute proof-of-concepts, pilot plans, and deployment strategies for new AI capabilities; measure results and iterate designs.
- Provide technical leadership, training, and coaching to engineering teams to raise overall AI maturity.
- Ensure solutions meet security, safety, compliance, and ethical use standards.
Requirements:
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 12 years prior relevant experience or an Advanced Degree in a related field and minimum 10 years of experience
- 5+ years experience applying AI and machine learning in industrial or highly operational environments
- Ability to communicate highly technical AI concepts in simple, business-oriented language
- 5+ years experience leading cross-functional initiatives and influencing stakeholders at multiple levels
- Understanding of factory workflows, industrial automation, sensors, MES, quality systems, and operational constraints
- Prior experience in advanced manufacturing or aerospace/defense production
- Bachelor’s degree in engineering, computer science, data science, or a related technical field; advanced degree preferred
- Background in systems engineering or manufacturing engineering
- Experience deploying AI in environments with strict safety, reliability, or regulatory requirements
- Experience with predictive modeling, computer vision, anomaly detection, optimization algorithms, or intelligent robotics
- Familiarity with cloud platforms, edge devices, and MLOps best practices
- Working knowledge of digital twins, simulation systems, or industrial IoT architectures
Benefits:
- Medical, dental, and vision insurance
- Three weeks of vacation for newly hired employees
- Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
- Tuition reimbursement program
- Student Loan Repayment Program
- Life insurance and disability coverage
- Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
- Birth, adoption, parental leave benefits
- Ovia Health, fertility, and family planning
- Adoption Assistance
- Autism Benefit
- Employee Assistance Plan, including up to 10 free counseling sessions
- Healthy You Incentives, wellness rewards program
- Doctor on Demand, virtual doctor visits
- Bright Horizons, child and elder care services
- Teladoc Medical Experts, second opinion program
- And more!
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