Enterprise Architect (DFS)
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Engineering
In short
We are seeking an experienced Enterprise Architect with over 17 years of IT experience, including 6+ years in AI/ML, to design and architect enterprise-scale Generative AI and Agentic AI solutions using Microsoft Foundry. The role involves leading the development and deployment of AI agents, RAG pipelines, and complex AI automation solutions for large enterprise customers, leveraging Azure AI services.
Responsibilities
- Design and architect enterprise-grade Generative AI and Agentic AI solutions using Microsoft Foundry.
- Lead the development and deployment of AI agents, RAG pipelines, LLM-powered applications, multi-agent workflows, and enterprise AI automation solutions.
- Architect secure, scalable, resilient, and production-ready AI solutions using various Azure services.
- Define reference architectures, reusable design patterns, accelerators, and best practices for enterprise Generative AI and Agentic AI adoption.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Lead AI solution design discussions, technical workshops, architecture reviews, proof-of-concept engagements, and production-readiness assessments.
- Stay updated with advancements in Generative AI, Agentic AI, Microsoft Foundry, Azure AI services, and emerging AI architecture patterns.
- Provide technical leadership and mentorship to the AI development team.
- Optimize AI solutions for performance, scalability, reliability, accuracy, latency, observability, and cost.
- Ensure the implementation of best practices in AI and ML development.
- Work closely with stakeholders to understand business needs and translate them into technical solutions.
Requirements
- Strong hands-on experience designing and implementing production-grade Generative AI and Agentic AI solutions using Azure AI Foundry / Microsoft Foundry.
- Strong experience with Azure OpenAI, Microsoft Foundry, Foundry Agent Service, Azure AI services, and Azure AI SDKs.
- Strong understanding of RAG architecture, embeddings, vector search, chunking strategies, retrieval optimization, grounding, re-ranking, prompt engineering, and hallucination mitigation.
- Experience architecting enterprise integrations with APIs, databases, knowledge repositories, ITSM platforms, monitoring systems, automation platforms, and enterprise applications.
- Experience with Azure AI Search, Azure Storage, Cosmos DB, Key Vault, Entra ID, RBAC, private networking, API Management, Azure Monitor, Application Insights, and Log Analytics.
- Strong understanding of LLMOps / GenAIOps, including model evaluation, prompt management, observability, tracing, monitoring, versioning, governance, and operational support.
- Proven experience leading complex AI/ML, Generative AI, Agentic AI, or cloud-native AI projects for large enterprise customers.
- Ability to assess business requirements and recommend the right architecture, framework, model, deployment approach, and governance model.
- Excellent problem-solving, communication, stakeholder management, consulting, and technical leadership skills.
Desired Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
- Hands-on experience in AI/ML, Generative AI, Agentic AI, cloud-native architecture, and enterprise solution design.
- Strong proficiency in building AI agents using LangGraph or MS SDK in Microsoft Foundry.
- Strong understanding of deep learning, NLP, LLMs, multimodal AI, OCR, speech-to-text, text-to-speech, and image processing techniques.
- Hands-on experience in designing and architecting Gen AI and Agentic AI solutions or tools (preferably for infrastructure use-cases) for large enterprise customers.
- Ability to build new solutions from scratch, create reusable accelerators, and drive innovation-led delivery.
- Hands-on experience with LLMs, RAG, agentic automation, and agent frameworks like Langchain, Lang graph, Azure AI Foundry / Microsoft Foundry.
- Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith.
- Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.
- Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI/agentic ai related projects.
- Proven track record of leading and delivering complex AI/ML projects.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills.
Benefits
- Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Skills
PythonGenerative AIAgentic AIAI PlatformAzure AI FoundryMicrosoft FoundryMicrosoft Foundry Agent ServiceSemantic KernelMicrosoft Agent FrameworkLangGraphLangChainOpenAI Agents SDKRAGEmbeddingsVector SearchPrompt EngineeringLLMOpsGenAIOpsAzure OpenAIAzure AI SearchAzure StorageCosmos DBKey VaultEntra IDRBACAPI ManagementAzure MonitorApplication InsightsLog AnalyticsData EngineeringNLPLLMMultimodal AIOCRSpeech-to-textText-to-speechImage ProcessingLang Smith
#AI#Generative AI#Agentic AI#Enterprise Architecture#Azure#Microsoft Foundry#RAG#LLMOps
About HCLTech
Supercharging progress through technology and innovation
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Company
HCLTechJob Posted
6 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Executive
Locations
Chennai, India
Hyderabad, India
Noida, India
Bangalore, India
Pune, India
Qualification
Bachelor, Master
Applicants
Be an early applicant
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