onsite
AI Solution Architect - A D - Cigres Technologies
Solutions Architect
Lead the design and delivery of enterprise AI solutions, integrating large language models, LangChain, and AWS services with MLOps, Kubernetes, and Python to build scalable, secure, and cost‑efficient AI pipelines.
About the role
Key Responsibilities
- Architect end‑to‑end AI solutions, focusing on LLM integration, RAG pipelines, and agentic frameworks.
- Design secure model hosting and inference governance strategies on AWS.
- Implement MLOps automation using Kubernetes, Terraform, and CI/CD pipelines.
- Collaborate with data engineering teams to ensure robust data pipelines and observability.
- Optimize solution cost and performance while maintaining compliance and security standards.
Requirements
- Proven experience as a Solutions Architect with deep knowledge of LLMs, LangChain, and AWS.
- Hands‑on expertise in MLOps, Kubernetes, Terraform, and Python.
- Strong understanding of data engineering principles and scalable architecture design.
- Excellent communication skills and ability to translate business needs into technical solutions.
Skills
langchainawsmlopskubernetespython