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 7.5 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.
Robust 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

📌 Large Language Model Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru