Training and Education Specialist intern focusing on AI in employee development at Motorola Solutions. Collaborating on instructional design and creating learning materials for corporate training.
About the role
- 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.
- Implement guardrails for agent behavior (policy constraints, safety checks, escalation paths, human-in-the-loop).
- 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)
- CI/CD pipelines, automated testing, observability/telemetry (logs, metrics, traces)
- 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
- Employee Referral Program
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