Gen AI + Teamcenter Solution Architect

Job Description

Gen AI + Teamcenter Solution Architect

Santa Clara, CA (Onsite) | Contract | $70 / hour

Lead the integration of Generative AI capabilities with Siemens Teamcenter PLM to transform product lifecycle management and drive innovation across enterprise systems.

A global technology services firm is seeking a Gen AI + Teamcenter Solution Architect to design, implement, and optimize advanced PLM solutions enhanced with Generative AI. The ideal candidate combines deep technical expertise in Siemens Teamcenter architecture with hands-on experience integrating AI technologies to improve automation, decision-making, and data-driven design processes.

This role is 100% onsite in Santa Clara, CA .

Position Overview

The Solution Architect will serve as a key technical leader, overseeing the design and deployment of Teamcenter PLM solutions that incorporate AI-driven capabilities such as intelligent design, simulation, and manufacturing optimization. This position requires 15+ years of experience in PLM systems, with at least 2–3 years working directly on Generative AI integrations.

Key Responsibilities

Solution Design & Implementation : Architect and deploy Teamcenter PLM solutions integrated with Generative AI tools to enhance design automation, analytics, and process efficiency.

Requirements Gathering : Collaborate with business and engineering teams to define and translate business needs into technical requirements and AI use cases.

AI Integration : Implement and optimize Generative AI capabilities—such as NLP, data modeling, and machine learning—within Teamcenter workflows.

Technical Leadership : Provide hands-on technical guidance across development, configuration, and deployment teams to ensure high-quality delivery.

Data Management & Analytics : Manage data flow and integration between Teamcenter and AI platforms, ensuring accuracy, integrity, and performance.

Process Optimization : Identify opportunities to automate and enhance PLM operations using AI-driven insights and predictive analytics.

Training & Enablement : Support end-users and technical teams by delivering documentation, training, and best practices for Teamcenter-AI adoption.

Collaboration : Work closely with internal engineering teams, stakeholders, and external vendors to ensure cohesive solution delivery.

Requirements

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field.

15+ years of experience in IT or engineering, with extensive expertise in Teamcenter PLM architecture.

2–3+ years of experience implementing or integrating Generative AI solutions.

Deep understanding of Teamcenter modules such as BMIDE, workflow development, and change management.

Strong programming proficiency in ITK, C, C++, Java, and scripting languages.

Experience with database administration , server setup, and performance tuning.

Familiarity with machine learning, NLP, and AI frameworks and their application in enterprise systems.

Proven track record in technical project management , including planning, execution, and delivery.

Excellent analytical, problem-solving, and communication skills with the ability to collaborate across business and technical functions.

Preferred Experience & Skills

Experience working on AI-driven PLM modernization projects or intelligent automation initiatives.

Exposure to data science tools and AI platforms (e.g., TensorFlow, PyTorch, Hugging Face, or LangChain).

Strong understanding of product lifecycle data models and digital thread concepts.

Demonstrated success in leading cross-functional global teams.

Attributes & Mindset

Strategic thinker with the ability to bridge engineering and AI innovation.

Hands-on leader passionate about modernizing enterprise systems through automation and intelligent design.

Excellent communicator capable of translating complex concepts for diverse stakeholders.

Collaborative and proactive with a commitment to delivery excellence.

Requirements

Expertise : In-depth knowledge of Teamcenter PLM system, including modules like BMIDE, workflow development, and change management. Generative AI Knowledge : Familiarity with generative AI technologies, including natural language processing (NLP), data science, and machine learning. Technical Skills : Programming experience (ITK, C, C++, Java, scripting languages), database knowledge, and server setup / performance tuning. Problem-Solving and Analytical Skills : Strong ability to diagnose and resolve technical issues, conduct root cause analysis, and develop solutions. Communication and Collaboration Skills : Excellent written, verbal, and interpersonal communication skills to effectively collaborate with stakeholders. Project Management : Experience with project planning, execution, and delivery.