About Krish Services Group :

Krish Services Group is a global technology consulting and services organization that helps businesses solve complex challenges through innovative technology solutions. With expertise across Microsoft 365, SharePoint, Power Platform, enterprise applications, cloud solutions, and Generative AI.

Profile overview :

We're hiring an AI Architect to design and ship the next generation of AI systems coming out of our AI CoE - both the internal platform our consultants build on, and the client facing solutions we deliver.

You'll work across LLM applications, RAG systems, and multiagent workflows, taking them from whiteboard to production. Our primary cloud is Azure, and you'll go deep on the Azure AI stack (Foundry, AI Search, Azure OpenAI, AI Content Safety, AML), while staying fluent in the open-source and cross-cloud tools that round out a modern GenAI practice.

You'll lead a small team of AI engineers, drive R&D and enablement across the CoE, partner with sales on presales pursuits, and stay deep in the code yourself.

Key Responsibilities :

- Reference architectures : Build and maintain the canonical blueprints other teams build against - RAG on Azure AI Search, agent runtimes on Azure AI Foundry, LLM backed assistants, retrieval and data layers on Fabric / Cosmos DB / ADLS.

- Production AI architecture : End-to-end design for client and internal AI systems: model selection, retrieval design, orchestration, identity and data-boundary enforcement, deployment topology (AKS, Container Apps, APIM as the AI gateway).

- Agent system design : Frameworks, orchestration patterns, tool-use contracts, memory and state management, eval harnesses.

- The eval and observability layer : Tracing, regression eval suites, drift and quality monitoring, cost and latency telemetry.

- Responsible AI in practice : Governance patterns, prompt and output safety, data-boundary enforcement via Entra ID and Private Link, audit trails.

- R&D and team enablement : Run an R&D cadence - evaluate new Azure AI releases and the broader OSS landscape.

- Presales partnership : Partner with sales and account leads on qualified pursuits.

- Team leadership : Lead and grow a small team of AI engineers.