Lead AI Agents & Generative AI Architect
Core
Design and implement scalable, resilient, and cost-effective architectures for Generative AI, Large Language Models (LLMs), and AI agents to accelerate client AI adoption.
Role type
Senior IC Lead AI Agents & Generative AI Architect
Builds
Production GenAI solutions, RAG systems, and AI agent workflows for enterprise clients
Domain
Generative AI, Large Language Models, Enterprise Software
Deliverable
production ML models | product features
Required skills
Python, TensorFlow/PyTorch, LLMs, embeddings, RAG, vector databases, LangChain/LangGraph/LlamaIndex/Semantic Kernel, MLOps/LLMOps, AWS, Docker, Kubernetes, FastAPI, Spark, Kafka
Preferred skills
None stated
Technologies
LangChain, LangGraph, LlamaIndex, Semantic Kernel, MLflow, Kubeflow, AgentOps, FastAPI, Spark, Glue, Athena, Airflow, Kafka
Responsibilities
Design scalable GenAI and AI agent architectures; Develop prototypes, demos, and PoCs; Implement MLOps, LLMOps, and observability practices; Define AI security, privacy, and governance guidelines; Productivize solutions via APIs and microservices; Engage with clients for discovery, workshops, and presentations; Support technical proposals and business cases
Seniority
Senior, hands-on IC with leadership influence