PLM GenAI Tech Specialist
PLM GenAI Tech Specialist
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Description
Responsibilities
Qualifications
Ford Motor Company is embarking on a significant multiyear Platform Lifecycle Management (PLM) program to modernize critical IT applications across the enterprise. As part of this transformation we are heavily investing in Generative AI (GenAI) to accelerate delivery enhance developer productivity and unlock new capabilities. We are seeking a highly skilled and innovativeGenAI Technical Manager (LL6to lead the technical development and implementation of GenAI solutions within this strategic program.
This role is pivotal in driving the practical adoption of GenAI at Ford focusing initially on creating accelerators for the PLM modernization effort 1600 applications migrating to GCP) and significantly improving the Ford Developer Experience (DX). You will collaborate closely with PLM program leaders GDIA (Global Data Insight & Analytics) architecture teams PDOs (Product Driven Organizations) and engineering teams to design build and deploy cuttingedge GenAI tools and platforms. This position requires a leader with deep handson technical expertise in GenAI models and frameworks practical experience in building AIdriven solutions a strong understanding of Fords technical landscape (both legacy and cloud) and the ability to influence technical direction across various teams.
Responsibilities
- GenAI Solution Development & Delivery:
- Lead the technical design development testing and deployment of GenAI solutions focusing on PLM accelerators (e.g. code conversion for Java Struts Mainframe Oracle SQL .NET WebFocus BO; automated testing) and Developer Experience enhancements (e.g. AI code assistants GCP onboarding chatbots automated UI development AIpowered observability).
- Translate GenAI strategy and roadmap items (particularly from the Developer Experience and Operational Excellence tracks) into actionable technical projects and deliverables.
- Manage the technical lifecycle of GenAI tools and accelerators ensuring they are robust scalable secure and aligned with Fords standards.
- Oversee the integration of GenAI capabilities into existing developer workflows and PLM processes.
- Technical Leadership & GenAI Expertise:
- Serve as a primary technical expert on GenAI models (including FordLLMs opensource models) frameworks (e.g. Langchain Langgraph) prompt engineering Agentic AI (e.g. leveraging Claude via FordLLM Crew AI AutoGen) RAG (RetrievalAugmented Generation) and related technologies.
- Provide technical guidance to development teams architects and stakeholders on GenAI best practices architecture patterns security considerations and ethical AI principles in collaboration with GDIA.
- Stay abreast of the rapidly evolving GenAI landscape evaluating new tools techniques and models (e.g. Cursor v0.dev Olama FACT phidata) for potential application at Ford.
- PLM Accelerator & DX Tooling Development:
- Drive the technical of building a suite of GenAIpowered accelerators specifically designed to automate and streamline the migration of legacy applications (Java Mainframe databases BI tools etc. to GCP within the PLM program.
- Lead the development of AIdriven tools to enhance the Developer Experience focusing on areas like automated code comprehension code reviews testing deployment and knowledge access (e.g. NLP dashboards enriched chatbots).
- Collaboration & Stakeholder Management:
- Collaborate closely with PLM program managers application teams GDIA Enterprise Architecture DX teams and PDOs to ensure GenAI solutions meet program needs and align with broader strategies.
- Effectively communicate complex GenAI technical concepts to diverse audiences including technical peers developers and leadership.
- Partner with GDIA to leverage FordLLMs adhere to established guardrails and contribute to the central GenAI COE knowledge base.
- Technology Experimentation & Adoption:
- Lead and conduct proofofconcept projects and experiments with emerging GenAI technologies and frameworks identified in the roadmap.
- Champion a fastfail approach to experimentation quickly iterating and demonstrating value.
- Drive the adoption of successful GenAI tools and practices within the PLM program and potentially broader Ford IT teams.
- Team Mentorship (as applicable):
- Mentor and guide junior engineers or team members working on GenAI development tasks.
- Foster a culture of technical excellence innovation and continuous learning within the GenAI space.
Qualifications
- Bachelors or Masters degree in Computer Science Software Engineering Artificial Intelligence or a related field.
- 810 years of experience in software development/engineering with a significant and demonstrable focus 3 years) on designing building and deploying AI/ML and specificallyGenerative AI solutionsin an enterprise environment.
- MUST HAVE Deep Practical GenAI Expertise:Proven handson experience with:
- Developing solutions using Large Language Models (LLMs) and related frameworks (e.g. Langchain Langgraph).
- Building GenAI applications such as code generation/translation tools chatbots RAG systems or Agentic AI.
- Finetuning models prompt engineering and evaluating GenAI model performance and quality.
- Familiarity with the GenAI technology landscape (e.g. OpenAI models Claude opensource models vector databases).
- Security DevSecOps and ethical practices in dealing with GenAI
- MUST HAVE Strong Software Development Foundation:Proficiency in programming languages commonly used in AI/ML development (e.g.Python Java) and software development and Artisan best practices (including API design microservices)along with Test Driven Development
- Nice to HAVE Understanding of Fords Technical Environment:Demonstrable understanding of both legacy technologies (e.g. Java/J2EE Struts Mainframe Oracle/SQL DBs WAS ETLs BI tools like WebFocus/BO) and modern cloud stacks particularlyGoogle Cloud Platform (GCP).
- Experience with relevant GCP services is crucial (e.g. Vertex AI Cloud Run GKE/OpenShift Cloud Storage BigQuery Cloud SQL Pub/Sub Monitoring Logging).
- MUST HAVE Enterprise Application Context:Experience working within large complex enterprise IT environments and understanding the challenges of integrating new technologies like GenAI. Experience applying AI to software development lifecycle (SDLC) processes (e.g. code analysis automated testing) is highly desirable.
- Experience with DevSecOps tools and practices (e.g. CI/CD pipelines using Jenkins/GitLab CI Terraform Ansible containerization code quality tools like SonarQube testing frameworks like Selenium/JMeter GitHub). Cost Monitoring and Optimization techniques is key.
- Proven ability to lead technical projects solve complex technical problems and work effectively in a fastpaced global environment.
- Excellent communication interpersonal and presentation skills capable of conveying technical details clearly to various audiences.
- Strong analytical and strategic thinking skills with a passion for innovation in the AI space.
Preferred Qualifications:
- GCP certifications (e.g. Professional Cloud Architect Professional Machine Learning Engineer).
- Experience specifically with GCP Vertex AI platform and tools.
- Experience contributing to or leveraging internal enterprise LLM platforms (like FordLLMs).
- Experience with Agile development methodologies.
- Familiarity with PLM concepts or the automotive industry.
- Experience building Agentic AI systems (e.g. using AutoGen Crew AI or similar frameworks).
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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