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Gen AI lead

LinkedIn Jade Business Services (JBS) Houston, TX
Mid-Senior level Posted March 26, 2026 Job link
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Requirements
  • Ensure scalability, performance, and security of AI solutions
  • Collaborate with cross-functional teams (Data Engineering, DevOps, Product)
  • Mentor junior engineers and guide best practices in AI development
  • Stay updated with latest advancements in Generative AI Required Skills & Qualifications Core AI/ML
  • Strong experience in Generative AI & LLMs
  • Hands-on with models like:
  • OpenAI (GPT)
  • Claude
  • LLaMA / open-source LLMs Programming
  • Expertise in Python
  • Experience with AI/ML libraries (Transformers, PyTorch, TensorFlow) Frameworks & Tools
  • LangChain / LlamaIndex
  • Vector DBs: Pinecone, FAISS, Weaviate, Chroma
  • ML lifecycle tools: MLflow, Kubeflow GenAI Concepts
  • Prompt Engineering
  • RAG Architecture
  • Fine-tuning & embeddings
  • Model evaluation & monitoring Cloud & Deployment
  • Experience with AWS / Azure / GCP
  • Exposure to Azure OpenAI is a plus
  • Containerization (Docker, Kubernetes) Architecture
  • Experience designing scalable AI systems
  • API development & microservices architecture Good to Have
  • Experience with Agentic AI / Multi-Agent Systems
  • Knowledge of MCP (Model Context Protocol)
  • Experience with LLM orchestration frameworks
  • Exposure to real-time AI applications
  • Domain experience (Finance, Healthcare, Retail, etc.) Leadership & Soft Skills
  • Strong problem-solving and analytical skills
  • Experience leading AI/ML teams
  • Excellent communication and stakeholder management
  • Ability to translate business problems into AI solutions
Preferred Skills
  • Stay updated with latest advancements in Generative AI Required Skills & Qualifications Core AI/ML
  • Claude
  • LangChain / LlamaIndex
  • Vector DBs: Pinecone, FAISS, Weaviate, Chroma
  • ML lifecycle tools: MLflow, Kubeflow GenAI Concepts
  • Prompt Engineering
  • RAG Architecture
  • Fine-tuning & embeddings
  • Model evaluation & monitoring Cloud & Deployment
  • Experience with AWS / Azure / GCP
  • Exposure to Azure OpenAI is a plus
  • Containerization (Docker, Kubernetes) Architecture
  • Experience designing scalable AI systems
  • API development & microservices architecture Good to Have
  • Experience with Agentic AI / Multi-Agent Systems
  • Knowledge of MCP (Model Context Protocol)
  • Experience with LLM orchestration frameworks
  • Exposure to real-time AI applications
  • Domain experience (Finance, Healthcare, Retail, etc.) Leadership & Soft Skills
  • Experience leading AI/ML teams
  • Ability to translate business problems into AI solutions