Director of AI Delivery overseeing AI applications and teams for Westinghouse Electric Company. Driving innovation and operational excellence in clean energy technology with a focus on reliability and compliance.
Responsibilities
Define the multi-year roadmap for AI agents, applications, UI/UX, testing and optimization, and the Dynamic Simulation Lab.
Build, coach, and retain teams; establish clear goals, operating mechanisms, and growth plans.
Prioritize programs with product, engineering, operations, security, and compliance leaders to maximize return on investment and risk reduction.
Oversee architecture and development of autonomous and semi-autonomous AI agents (e.g., workflow orchestration, decision support, monitoring).
Lead delivery of AI applications (internal tools and customer-facing products) with scalable back-end services and APIs.
Direct UI/UX strategy for intuitive, accessible, and compliant interfaces across web, desktop, and operator consoles.
Champion user research and usability testing to improve task success rates, reduce cognitive load, and increase adoption.
Establish rigorous test plans: functional, performance, reliability, adversarial/abuse, explainability, and bias audits.
Stand up CI/CD for AI systems (datasets, prompts, models, agents, app code) and telemetry-driven optimization loops.
Set and enforce quality gates for release, rollback procedures, and incident response strategies.
Operate a controlled environment for high-fidelity simulation, digital twins, and scenario stress-testing (including model-in-the-loop and agent-in-the-loop evaluations).
Partner with cybersecurity, data privacy, and risk teams to enforce secure-by-design principles, least-privilege access, and monitoring.
Translate complex technical topics into clear narratives for executives, operators, and regulators.
Requirements
Bachelor's/Master's in Computer Science, Data Science, Human-Computer Interaction, Electrical/Systems Engineering, or related field
10+ years in software/AI product development, with 5+ years leading teams (AI/ML, software, UX, and QA)
Hands-on familiarity with: AI agents/orchestration frameworks, LLMs, traditional ML, reinforcement learning
Modern application stacks (microservices, REST/GraphQL), and front-end frameworks (React/Angular/Vue)
Experience running simulation or test labs, or large-scale staging environments
Demonstrated track record in security-conscious environments (policy, identity and access, data protection).
Benefits
Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
401(k) with Company Match Contributions to support employees' retirement
Paid Vacations and Company Holidays
Opportunities for Flexible Work Arrangements to promote work-life balance
Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
Global Recognition and Service Programs to celebrate employee accomplishments and service
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