Generative AI Engineer

Johnson Electric is one of the worlds largest providers of motion solutions supplying nearly every major brand in automotive industrial and consumer markets. Our Smart Factory initiative leverages advanced analytics AI and IIoT to drive zero-defect quality lights-out manufacturing and sustainable operations across 30 plants on five continents.

You will be joining a high-impact hands-on CoE team that owns the full analytical stack: from edge data acquisition and cloud ingestion to model deployment and smart factory adoption.

You will own the end-to-end Gen AI technology stack for Johnson Electric. Design build and govern reusable toolchains unlock new use-cases and establish DevOps and MLOps best practices that can scale.

Key Responsibilities

Architecture and Strategy

• Define Gen-AI architecture blueprints design guidelines and model-cards aligning with JE data privacy OT-IT convergence and cost models.
• Establish enterprise patterns for RAG model fine-tuning agentic workflows security isolation and cost governance.

Platform Delivery

• Build and operate a reusable Gen-AI platform on Azure (AKS AzureML Azure OpenAI) provisioned via IaC (Terraform/Bicep) and managed through DevOps pipelines such as Azure DevOps.
• Integrate and orchestrate Gen-AI building blocks commercial & open-source LLM APIs MCP tooling frameworks such as LangChain and LlamaIndex vector databases Azure AI Search indexes.

Productionize New Use Cases

• Partner with functional SMEs (quality maintenance logistics R&D) to transform high-value ideas into production Gen-AI solutions.
• Guide teams through the full GenAI application lifecycle: problem framing data acquisition prompt and model design human-in-the-loop validation deployment monitoring and iterative improvement.
• Document reusable patterns and feed lessons learned back into the platform backlog to accelerate subsequent use-case onboarding.

Qualifications

• 5 years in Data / AI engineering 2 years specifically building or productizing Gen-AI / LLM solutions in production.
• Deep understanding of LangChain / LlamaIndex (RAG Agentic workflows).
• Expert in prompt engineering agentic concepts memory and tool management
• Strong coding skills in Python (FastAPI asyncio Pydantic) and at least one typed language (Java C# or Go).
• Experience in Machine Learning preferably in manufacturing / IoT / edge AI.
• Expert in Azure Cloud Services for AI or equivalent.
• Hands-on with Docker/Kubernetes GPU containers CUDA drivers and performance profiling.
• Proven experience translating business value metrics into technical architecture.
• Excellent stakeholder communication; able to navigate between OT IT cyber-security and business teams.
• Fluency with DevOps & IaC (Azure DevOps Terraform / Bicep GitHub Actions).

Come join our global inclusive & diverse team

Our purpose is to improve the quality of life of everyone we touch through our innovative motion systems. We are a truly global team bound together by our shared values. Our culture is built on the diversity knowledge skills creativity and talents that each employee brings to the company. Our people are our companys most valuable asset. We are committed to providing an inclusive diverse and equitable workplace where employees of different backgrounds feel valued and respected regardless of their age gender race ethnicity or religious background. We are committed to inspiring our employees to grow act with ownership and find fulfilment and meaning in the work they do.