Gen AI Lead
Core
Lead the design, development, and implementation of Generative AI solutions, including large language models, RAG, and AI agents, to build secure, scalable, production-ready applications.
Role type
Senior IC GenAI Lead (Strategy & Architecture)
Builds
Production-grade GenAI applications, reusable frameworks, APIs, and components for enterprise adoption.
Domain
Artificial Intelligence / Generative AI / Enterprise Software
Deliverable
production ML models
Required skills
Generative AI strategy, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, Prompt engineering, Model evaluation, Python, AI/ML frameworks (LangChain, LlamaIndex, Hugging Face), Vector databases, Cloud platforms, MLOps/LLMOps, Technical leadership
Preferred skills
Autonomous AI agents, Multimodal AI, Model fine-tuning, Knowledge graphs, AI governance, Regulated industry experience
Technologies
OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Anthropic, Pinecone, FAISS, Weaviate, Milvus, Chroma, Azure AI Search, PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face
Responsibilities
Define and execute GenAI technical strategy and roadmap; Lead architecture, design, and deployment of GenAI solutions; Build production-grade applications using LLMs and foundation models; Evaluate and select commercial and open-source AI models; Develop reusable frameworks and accelerators; Integrate GenAI solutions with enterprise applications; Establish standards for model evaluation, security, and scalability; Implement observability and feedback loops; Ensure responsible AI practices; Mentor engineering teams; Translate business requirements into AI use cases; Lead proofs of concept and transition to production; Present technical strategies to senior leadership.
Seniority
Senior, hands-on IC with leadership responsibilities
