PTC Windchill Software Engineer

Phizenix•Menlo Park, CA

About The Position

We are seeking an experienced PTC Windchill Software Engineer to design and build AI-native, agentic workflows that automate Product Lifecycle Management and New Product Introduction processes. This role supports a Priority 2 initiative aligned to O1/KR6 focused on using AI agents to automate critical engineering activities, including part creation, Bill of Materials generation, and engineering change workflows. The engineer will also build the integration layer required to connect the rebooted PTC Windchill platform with enterprise Master Data Management, sourcing, procurement, manufacturing, and downstream order-execution systems. The PLM platform supports more than 120,000 parts and an increasingly complex product portfolio. The successful candidate will combine deep Windchill engineering expertise, enterprise integration skills, and practical experience with AI-enabled workflow automation to deliver scalable and production-ready solutions.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
5+ years of enterprise software-engineering experience.
3+ years of hands-on PTC Windchill development experience.
Strong experience with: Java and J2EE, Windchill APIs and services, Windchill workflows, Object models and lifecycle configuration, REST and SOAP integrations, SQL and enterprise data models.
Experience with Windchill PDMLink, change management, part management, and BOM structures.
Experience integrating PLM with MDM, ERP, sourcing, procurement, or manufacturing systems.
Strong understanding of software design patterns, API design, security, and CI/CD.
Experience working in Agile or Scrum delivery models.
Strong analytical, troubleshooting, and communication skills.

Nice To Haves

Experience building AI agents, workflow automation, or generative-AI applications.
Knowledge of agent orchestration, tool calling, retrieval-augmented generation, and human-in-the-loop design.
Experience with Python, AI APIs, vector databases, or model-evaluation frameworks.
Experience with PTC ThingWorx, Navigate, InfoEngine, or Windchill Enterprise Systems Integration.
Knowledge of product master data, sourcing, procurement, and order-execution processes.
Experience supporting complex hardware, infrastructure, semiconductor, or manufacturing environments.
Familiarity with cloud platforms, event streaming, middleware, and containerized services.
PTC Windchill or relevant cloud and AI certifications are preferred.

Responsibilities

Design and develop agentic workflows that automate high-volume PLM and NPI activities.
Build AI-enabled capabilities for: Part creation, Part classification, Part Clientdata enrichment, Bill of Materials generation, BOM validation, Engineering change creation, Engineering change impact analysis, Workflow routing and approval.
Implement human-in-the-loop controls for high-risk or business-critical decisions.
Develop explainable recommendations and traceability for AI-generated actions.
Ensure agents operate within approved business rules, permissions, and governance controls.
Support proactive and event-driven automation across PLM workflows.
Design, configure, customize, and enhance PTC Windchill applications.
Develop Windchill extensions using Java, Windchill APIs, services, workflows, and event frameworks.
Configure: Parts and product structures, Lifecycle templates, Object types and attributes, Workflows, Change-management processes, Access controls, Business rules, Validation logic.
Develop reusable components and technical frameworks.
Ensure customizations remain supportable and aligned with PTC-recommended architecture.
Optimize application performance and scalability for large PLM datasets.
Automate creation of new part records using approved engineering and business data.
Integrate with MDM systems to validate part numbers, classifications, naming standards, and ownership.
Prevent duplicate or incomplete part creation.
Apply required attributes, lifecycle states, classifications, and compliance Clientdata.
Implement exception handling and approval workflows for ambiguous or incomplete requests.
Maintain end-to-end auditability of automated part-creation decisions.
Develop intelligent workflows to create, validate, and update engineering BOMs.
Generate BOM structures from approved source data, engineering inputs, templates, or prior product configurations.
Validate component relationships, quantities, revisions, alternates, effectivity, and usage rules.
Detect missing, duplicate, obsolete, or incompatible components.
Support comparison of existing and proposed BOM configurations.
Enable controlled handoff from engineering BOMs to manufacturing and execution systems.
Ensure BOM automation supports increasing product and configuration complexity.
Build automated workflows for Engineering Change Requests, Engineering Change Notices, and related change objects.
Automate impact analysis across affected parts, BOMs, documents, products, suppliers, and downstream systems.
Route changes based on product, risk, cost, ownership, and organizational rules.
Generate recommended reviewers and approvers.
Support change validation, approval, implementation, and closure.
Provide status visibility and exception management across the engineering change lifecycle.
Reduce manual intervention while maintaining governance and segregation of duties.
Build and maintain integrations between Windchill and: Master Data Management systems, Sourcing and supplier platforms, Procurement applications, ERP systems, Manufacturing and execution platforms, Order-management and downstream order-execution systems, Data platforms and analytics environments, AI and orchestration platforms.
Develop REST, SOAP, event-driven, file-based, and middleware integrations.
Design canonical data models and interface contracts.
Support real-time and batch data exchanges.
Implement validation, reconciliation, retry, and error-handling mechanisms.
Maintain data consistency across enterprise platforms.
Monitor interface performance and resolve integration failures.
Integrate Windchill with enterprise AI platforms and large language models.
Develop tools and APIs that allow agents to securely retrieve and update PLM data.
Implement retrieval mechanisms grounded in approved product, engineering, and policy data.
Build agent orchestration across PLM, MDM, sourcing, and execution systems.
Design safeguards to prevent unauthorized, unsupported, or incorrect system changes.
Implement confidence thresholds, approval gates, rollback mechanisms, and audit trails.
Monitor agent behavior and identify recurring failure patterns.
Support prompt, workflow, model, and tool-version management.
Establish validation rules for part, BOM, supplier, sourcing, and engineering change data.
Identify and remediate incomplete, inconsistent, duplicate, or outdated records.
Support product-data lineage and traceability across integrated systems.
Enforce data ownership, access, retention, and classification requirements.
Ensure AI-generated transactions meet enterprise data-quality standards.
Partner with MDM and governance teams to maintain a consistent product-data model.
Develop unit, integration, regression, performance, and security tests.
Create evaluation scenarios for AI-generated PLM actions.
Test standard, edge, negative, and exception-based workflows.
Validate outputs against business rules and expected engineering outcomes.
Support system integration testing and user acceptance testing.
Automate testing within CI/CD pipelines where feasible.
Ensure releases meet functional, technical, security, and operational-readiness standards.
Support release planning, deployment, cutover, and post-production hypercare.
Provide L2 and L3 support for Windchill customizations and integrations.
Troubleshoot application, workflow, data, integration, and performance issues.
Lead root-cause analysis for high-severity and recurring incidents.
Implement corrective and preventive actions.
Maintain runbooks, technical documentation, architecture diagrams, and support procedures.
Coordinate with PTC Support and internal platform teams for complex product issues.
Partner with PLM Product Owners, Engineering, NPI, Manufacturing, Sourcing, Procurement, MDM, Enterprise Architecture, Data Engineering, and AI teams.
Translate business requirements into technical designs and implementation plans.
Participate in architecture reviews, design workshops, sprint planning, and release governance.
Communicate technical risks, dependencies, decisions, and trade-offs.
Provide technical guidance and knowledge transfer to development and support teams.