GEN AI Engineer

Design, build and govern reusable toolchains, unlock new use-cases and establish DevOps and MLOps best practices that can scale.\nKey Responsibilities\nArchitecture and Strategy\nDefine Gen-AI architecture blueprints, design guidelines, and model-cards aligning with JE data privacy, OT-IT convergence and cost models.\nEstablish enterprise patterns for RAG, model fine-tuning, agentic workflows, security isolation, and cost governance.\nPlatform Delivery\nBuild 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.\nIntegrate 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.\nProductionize New Use Cases\nPartner with functional SMEs (quality, maintenance, logistics, R&D) to transform high-value ideas into production Gen-AI solutions.\nGuide 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.\nDocument reusable patterns and feed lessons learned back into the platform backlog to accelerate subsequent use-case onboarding.\n\nQualifications\n5+ years in Data / AI engineering, 2+ years specifically building or productizing Gen-AI / LLM solutions in production.\nDeep understanding of LangChain / LlamaIndex (RAG, Agentic workflows).\nExpert in prompt engineering, agentic concepts, memory, and tool management\nStrong coding skills in Python (FastAPI, asyncio, Pydantic) and at least one typed language (Java, C#, or Go).\nExperience in Machine Learning preferably in manufacturing / IoT / edge AI.\nExpert in Azure Cloud Services for AI or equivalent.\nHands-on with Docker/Kubernetes, GPU containers, CUDA drivers, and performance profiling.\nProven experience translating business value metrics into technical architecture.\nExcellent stakeholder communication; able to navigate between OT, IT, cyber-security, and business teams.\nFluency with DevOps & IaC (Azure DevOps, Terraform / Bicep, GitHub Actions).