GEN AI Developer

Gen-AI Engineer 

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 

1. Architecture and Strategy 

1. Define Gen-AI architecture blueprints, design guidelines, and model-cards aligning with JE data privacy, OT-IT convergence and cost models. 

1. Establish enterprise patterns for RAG, model fine-tuning, agentic workflows, security isolation, and cost governance. 

1. Platform Delivery 

1. 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. 

1. 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. 

1. Productionize New Use Cases 

1. Partner with functional SMEs (quality, maintenance, logistics, R&D) to transform high-value ideas into production Gen-AI solutions. 

1. 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. 

1. 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).