Lead Architect
Core
Designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability for enterprise-grade systems.
Role type
Lead Architect (LLMOps & GenAI Engineering)
Builds
Scalable LLMOps platforms, end-to-end LLM pipelines, agentic AI operations, and cloud-native deployment frameworks.
Domain
Generative AI, Machine Learning Operations, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Data Engineering, FastAPI, NLP, LLM fine-tuning (PEFT/CPT), Agentic AI workflows, RAG, AI governance, Kubernetes, Terraform, Cloud deployment (AWS/GCP/Azure), DevOps, MLOps
Preferred skills
Product thinking, prompt engineering, AI evaluation, GPU-aware scaling, GitOps, Bash, YAML, Terraform HCL
Technologies
LangChain, MLflow, BentoML, Ray, Truss, OpenAI evals, Ragas, Rebuff, Outlines, Airflow, Prefect, Feast, Spark, Flink, Parquet, Delta, Azure ML, GCP Vertex AI, AWS Bedrock/SageMaker
Responsibilities
Architect and build scalable LLMOps platforms; Design and manage end-to-end LLM pipelines; Drive LLM-specific infrastructure (memory, token control, context optimization); Lead scalable deployment frameworks using Kubernetes; Build agentic AI operations capabilities; Implement guardrails and observability; Drive platform automation with Docker, Kubernetes, GitOps, and Terraform.
Seniority
Senior, hands-on IC with technical leadership
