AI & Software Engineering Manager
About The Position
The Manager, AI & Software Engineering leads the AI & Software Engineering team within Data & AI, comprising AI/software engineers and UI/UX designers. The team designs production-grade AI applications, including standalone bertha™, agent-based workflows, Technology Bricks, and user interfaces for Westinghouse and its customers. The manager is accountable for delivering the team’s AI and software commitments and developing the team. This is a hybrid/mobile role based in Cranberry, Pennsylvania, reporting to the Director, AI Delivery. The role oversees AI application and agent engineering; estimation and prioritization support for potential developments and commercial projects; code quality, security, monitoring, reliability, and documentation; and the design of safe human–AI user experiences. The manager works with AI & Data Infrastructure leadership to build within approved architectures, platforms, models, data architectures, and deployment environments. Architecture decisions remain with those teams. The manager applies the common AI Software Development Lifecycle and approved technology stack, including secure-by-design practices and Westinghouse software quality requirements. The role also supplies engineering inputs for Technology Bricks and AI projects under Westinghouse’s Innovation Process and Stage Gate Reviews. Responsibilities include planning capacity, assigning engineers within Data & AI governance, scaling the team through hiring and onboarding or external support when needed, and leading performance, recognition, succession, coaching, career planning, and AI engineering skills development.
Requirements
- Bachelor’s degree in computer science, software engineering, engineering, or a related discipline.
- At least 8 years of software engineering experience.
- At least 3 years delivering AI, ML, or GenAI solutions to production.
- At least 3 years leading engineering teams, including hiring and growing teams.
- Knowledge of generative AI, including LLM integration, RAG and GraphRAG, agentic AI frameworks, tool use and MCP-based integrations, prompt and context engineering, and AI evaluation.
- Understanding of machine-learning models and how to integrate and consume them within applications.
- Software engineering skills including Python, APIs, front-end and back-end development, Docker and containers, and CI/CD.
- Working knowledge of databases and data platforms, including MongoDB, Databricks, and lakehouse architectures.
Nice To Haves
- Master’s degree with a focus on AI/ML.
- Azure or Google Cloud certifications.
- Experience with React/MUI.
- Experience with UX design tools such as Figma.
Responsibilities
- Develop and deliver AI applications and agent-based workflows, including business logic, orchestration, integrations, and user interfaces, meeting commitments on time, on budget, and to required quality.
- Prepare estimates, scope assumptions, and capability needs for potential developments and commercial projects.
- Ensure code quality, application security, application-level monitoring, and reliability.
- Produce and improve technical documentation needed for maintainability and governance.
- Define and apply UX and interaction guidelines that provide safe user experiences with AI solutions.
- Collaborate with AI & Data Infrastructure leadership to build applications within approved architectures, platforms, AI models, data architectures, and deployment environments; provide application requirements and feedback and raise application-driven needs.
- Apply the common AI Software Development Lifecycle, including code review, CI/CD, test automation, documentation, and Definition of Done.
- Ensure use of the approved technology stack and exception process, secure-by-design practices, and Westinghouse software quality requirements.
- Provide engineering inputs and deliverables for Technology Bricks and AI projects managed under the Westinghouse Innovation Process and Stage Gate Reviews (BMS-RT-3).
- Plan team capacity against the prioritized portfolio and propose and manage engineer assignments within Data & AI capacity governance.
- Define hiring needs, lead recruitment and onboarding, and engage contractors and third-party companies as needed while retaining critical knowledge and intellectual property within Westinghouse.
- Lead goal setting, performance management, recognition, succession, coaching, mentoring, career planning, and team upskilling or reskilling in AI engineering.
Benefits
- Comprehensive medical benefits, potentially including medical, dental, vision, prescription coverage, and an HSA with employer contribution options.
- Wellness programs, including an Employee Assistance Program for employees and household members.
- 401(k) with company match contributions.
- Paid vacations and company holidays.
- Opportunities for flexible work arrangements.
- Educational reimbursement and comprehensive career programs.
- Global recognition and service programs.
- Employee referral program.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
