Architect end to end AI and Generative AI solutions on Azure, leveraging:
o Azure AI Foundry (projects, prompt flows, evaluations, deployments)o Azure OpenAI (GPT 4.x, embeddings, assistants/agents)o Azure AI Search (vector, hybrid, semantic search)
Design agentic AI architectures, including:
o Multi agent workflows using LangChain and LangGrapho Tool calling, routing, memory management, and stateful orchestration
Define reference architectures for:
o RAG (Retrieval Augmented Generation)o Intelligent document processingo Conversational AI and copilotso Knowledge assistants and decision support systems2. LangChain & LangGraph Architecture
Design and govern LLM orchestration frameworks using:
o LangChain chains, tools, retrievers, and memory abstractionso LangGraph for graph based, stateful, multi step workflows
Define patterns for:
o Supervisor–worker agent modelso Conditional routing and branching logico Human in the loop workflows
Establish best practices for:
o Prompt engineering and prompt versioningo Evaluation, testing, and regression of LLM outputso Agent observability and debugging (logs, traces, metrics)3. NLP & Language AI Expertise
Lead solutioning for NLP use cases, including:
o Text classification, summarization, entity extraction, sentiment analysiso Semantic search and knowledge extractiono Conversational and domain specific language models
Leverage Azure NLP capabilities such as:
o Azure AI Languageo Custom text analytics and domain adaptation
Guide teams on language data preparation, embeddings strategy, and accuracy tuning
4. Python Based AI Engineering Leadership
Provide architectural guidance for Python based AI development, including:
o API and microservice design for AI workloadso Integration with Azure Functions, App Service, AKS
Define standards for:
o Code structure, modularity, and reuseo Model and prompt lifecycle managemento Performance optimization and cost control5. Enterprise, Security & Governance
Design AI solutions aligned with enterprise and BFSI requirements, including:
o Security, privacy, and data residencyo Azure Entra ID, RBAC, managed identitieso Private endpoints, VNET integration, network isolation
Define Responsible AI and governance frameworks:
o Prompt safety, content filtering, bias mitigationo Auditability, explainability, and traceability
Support compliance with internal risk, legal, and regulatory standards
6. Delivery, Stakeholder & Pre Sales Support
Lead architecture workshops and design sessions with:
o Business stakeholders and executiveso Product, engineering, and data teams
Translate business requirements into:
o Architecture diagramso Solution design documentso Architecture Decision Records (ADRs)
Support RFPs, RFIs, and client proposals with AI solutioning, effort estimates, and roadmaps
Required Skills & ExperienceCore Technical Skills
10+ years in software engineering / solution architecture
5+ years architecting solutions on Microsoft Azure
Strong hands on experience with:
o Azure AI Foundryo Azure OpenAI Serviceo Python for AI/ML and backend developmento LangChain and LangGraph
Solid background in NLP concepts and enterprise language AI
Azure Platform Expertise
Azure AI & Data Services:
o Azure AI Foundry, Azure AI Search, Azure AI Languageo Azure Machine Learning (preferred)
Application & Integration:
o Azure Functions, App Service, AKSo Event driven and API based architectures