Job Description Summary
Join us in a high-impact role where you’ll build the next generation of automation and AI solutions that transform how engineering gets work done. This is a chance to work at the intersection of software development, digital engineering, and advanced integration—delivering scalable capabilities across platforms like Teamcenter, NX, Cameo, and cloud-based environments. If you’re energized by solving complex technical problems, partnering with cross-functional teams, and turning bold ideas into real business outcomes, this role offers the opportunity to shape both today’s tools and tomorrow’s vision.
Job Description
Roles and Responsibilities
Process Redefinition & Transformation
Partner with engineering and product development teams to map current-state workflows, identify bottlenecks, and define AI-native future-state processes
Lead and support process redefinition efforts that rethink how engineering work gets done, rather than simply automating existing steps
Identify, prioritize, and build the business case for automation and AI opportunities based on measurable impact (productivity, cycle time, quality, etc.)
Define multigenerational capability roadmaps that balance near-term wins with a long-term digital engineering vision
Engineering Partnership & Adoption
Embed with engineering teams to co-develop and validate solutions, ensuring tools fit how engineers actually work
Work with enterprise and Edison Works teams to establish the support infrastructure needed to enable and sustain new capabilities
Drive change management and adoption through training, documentation, and ongoing support for engineering users
Balance delivery speed, quality, and sustainability of tools to support business outcomes at business pace
AI Integration & Solution Delivery
Integrate AI and automation capabilities into engineering toolchains (Teamcenter, NX, Cameo, Ansys, etc.) and the broader digital thread
Evaluate and apply AI technologies (generative AI, agents, ML models) to engineering use cases, guiding build vs. buy vs. leverage decisions
Guide the design, development, and deployment of automation and AI tools using Agile, SDLC, and CI/CD practices, contributing hands-on development where needed
Work with Information Assurance (IA) and Digital Technology (DT) teams to deploy and sustain tools in classified environments
Establish metrics to track solution performance and business impact, and drive continuous improvement
Required Qualifications
Bachelor's degree in engineering, computer science or similar from an accredited university or college
Minimum of 3 years of experience in engineering, manufacturing, digital technologies or other technical field
Due to the nature of the duties of this position, this role requires the individual to obtain and maintain US Government Security Clearance; prerequisite for a security clearance is U.S. citizenship
Experience with digital transformation and / or AI-native process redefinition, preferably with a focus on product development or manufacturing
Desired Characteristics
AI & Data: Working knowledge of AI/ML and generative AI tools and frameworks (e.g., LLMs, agents, PyTorch, scikit-learn), and of data integration concepts, databases (SQL/NoSQL), APIs, and web services
Software & Cloud: Proficiency in scripting and programming (Python, Java, C++, SQL) and familiarity with modern development practices, including Git, CI/CD, automated testing, containerization (Docker/Kubernetes), and AWS or other cloud environments
Engineering Tools: Background with engineering tools and their data structures and APIs, including PLM (Teamcenter), CAD (NX), Systems Engineering (Cameo), and analysis (Ansys)
Digital Engineering: Understanding of digital engineering processes, particularly CAD workflows and engineering analysis, with experience leading digital transformation in engineering or manufacturing
Process & Requirements: Ability to map business processes, capture requirements, and scope…