About the Role :
We are hiring a Technical Delivery Architect to lead the design and implementation of enterprise-grade GenAI applications built on the Azure AI platform . This role combines architecture leadership, solution delivery oversight, and stakeholder coordination - ideal for someone with experience designing and delivering LLM-integrated, data-aware copilots in a large enterprise environment. You will act as the technical backbone of the program , ensuring all components - from data access to orchestration, security, and LLM workflows - are well-architected, aligned, and delivered to plan.
Core Responsibilities :
Solution Architecture :
- Lead the architecture of GenAI systems that integrate enterprise data sources with Azure OpenAI and orchestration frameworks.
- Define scalable, modular solution blueprints using Azure-native tools :
- Azure AI Studio / Foundry , OpenAI , Azure Functions , API Management , App Services , Azure Data Lake , Synapse , Power BI , etc.
- Design and review prompt orchestration, plugin / function calling, and vector search integrations (e.g., Azure AI Search, FAISS).
- Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models).
- Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search.
- Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes.
- Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps.
Program Leadership :
Translate business objectives into deliverable AI system components and workstreams.Drive backlog prioritization, technical sequencing, and risk mitigation across sprints.Own architecture reviews, design sign-offs, security assessments, and go-live readiness.Delivery Oversight :
Coordinate activities across AI engineers, data engineers, front-end teams, and infrastructure teams.Oversee setup of environments, DevOps pipelines, LLM integrations, telemetry, and rollback strategies.Ensure end-to-end integration testing, user acceptance, and deployment.Security & Compliance :
Guide secure architecture patterns using Azure AD , RBAC , Managed Identity , and data governance .Ensure all data access (Power BI, OLAP, SAP) is scoped via APIs and governed by policy.Enterprise Data Integration :
Define how structured data sources (e.g., Power BI datasets, OLAP cubes, SAP views) are abstracted as tools / plugins for LLMs.Ensure semantic model alignment, query layer consistency, and caching / performance optimization.Required Skills & Experience :
8 to 12+ years in enterprise architecture and technical delivery rolesProven experience architecting GenAI systems using Azure OpenAI , Azure AI Studio , or FoundryStrong understanding of LLM tool / function architectures (e.g., LangChain, Semantic Kernel)Solid command of :Azure Functions / Logic AppsAPI ManagementPower BI Service & XMLA endpointsOLAP / DAX / MDX data modelsAbility to lead complex, cross-functional delivery programsExperience working in Agile delivery frameworks(ref : hirist.tech)