Large Language Model Architect

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: We are building out a world-class AI Delivery and Architecture team and are looking for exceptional engineers who want to shape how enterprise AI systems are designed, built, and operated at scale. This is a senior hands-on technical role that sits at the intersection of cloud engineering, LLM/GenAI application development, and AI infrastructure platform design. You will drive architecture decisions, lead delivery across complex multi-cloud AI programs, and act as a force multiplier for the engineers around you. You will be equally at home writing production Python, reviewing infrastructure-as-code, and presenting architecture trade-offs to senior stakeholders. Roles & Responsibilities: Architect and deliver end-to-end GenAI solutions Define the AI roadmap for our key customers Design RAG pipelines, agentic workflows, and multi-model orchestration patterns that go beyond prototypes into production-grade systems. Lead technical design and governance Own Architecture Decision Records , run design reviews, establish engineering standards, and ensure solutions are reusable and maintainable across teams. Drive AI infrastructure platform engineering Build and scale model-serving infrastructure (Bedrock, Vertex AI, Azure OpenAI), and AI gateway/routing layers. Strong system integration Skills Own multi-cloud delivery Architect and deliver across AWS, Azure, and GCP using IaC (Terraform/Pulumi), Kubernetes (EKS/AKS/GKE), and GitOps workflows. Embed observability and LLMOps from day one Instrument AI systems with OpenTelemetry, LLM-specific tooling , tok