Gen AI Architect

Must Have Technical/Functional Skills

· Must Have:

· Azure ML, Azure OpenAI, Cognitive Services

· Databricks, Synapse, Data Factory

· AKS, Docker, Kubernetes

· Python, REST APIs

· GitHub / Azure DevOps, ML OPS

Roles & Responsibilities

We are seeking a highly skilled Azure AI / Agentic AI Architect to design, build, and scale enterprise-grade AI platforms using Azure AI Services.

The role focuses on multi-agent architectures, Generative AI, and intelligent automation, enabling business transformation through scalable, secure,

and governed AI solutions:

Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases.

Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines to enable scalable and reusable AI capabilities.

Develop and orchestrate multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.

Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.

Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms.

Design end-to-end AI architecture layers including interaction, orchestration, integration, model enablement, and data layers aligned with enterprise standards.

Evaluate and implement AI/ML models and tools based on performance, scalability, cost optimization, and use-case suitability.

Ensure Responsible AI, governance, and security compliance using Azure capabilities such as Entra ID, Key Vault, Content Safety, and enterprise guardrails.

Implement observability and LLMOps practices including monitoring, evaluation, drift detection, performance tuning, and telemetry using Azure Monitor and Application Insights.

Collaborate with cross-functional stakeholders (product, engineering, business teams) to convert business requirements into scalable AI solutions.

Develop architecture diagrams, technical documentation, and deployment strategies for enterprise AI platforms.

Note: All Fields are Mandatory

Lead Poc’s and innovation initiatives to validate AI use cases and accelerate production adoption. Must-Have: · Hands-on experience with Azure AI Services (Azure OpenAI, Cognitive Services, Azure AI Search) · Strong experience in GenAI / LLMs, RAG, and prompt engineering · Expertise in Agentic AI frameworks / multi-agent orchestration (Lang Graph,Langsmith,Langchain Semantic Kernel, etc.) · Experience in Python and modern AI/ML frameworks · Knowledge of vector databases, embeddings, and semantic search · Experience with cloud-native architectures (Azure preferred) · Strong understanding of APIs, microservices, and enterprise system integration Good-to-Have: · Experience with Azure AI Foundry / Agent Services / Prompt Flow · Knowledge of LLMOps / MLOps pipelines (CI/CD, evaluation frameworks) · Experience with Databricks, Synapse, or modern data platforms · Exposure to Responsible AI and governance frameworks · Experience working in regulated industries (Healthcare, Pharma. Etc.)