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Key Responsibilities
• Own the data architecture roadmap, standards, and reference architectures for Retail & CPG solutions.
• Translate business and industry requirements into scalable, reusable data platforms and semantic models.
• Build reusable accelerators, data products, frameworks, and domain models.
• Evaluate emerging Data, AI, and GenAI technologies and guide architecture and tooling decisions.
• Design AI-ready data foundations covering semantic layers, vector databases, knowledge graphs, RAG, and metadata management.
• Partner with solution, delivery, and business teams on complex data transformation programs.
• Establish architecture standards and reusable capabilities across multiple engagements.
• Mentor architects and engineering teams and drive architecture best practices. Required Experience & Skills
• 15–20 years of experience in Data Architecture, Data Engineering, Analytics, and Enterprise Data Platforms.
• Strong hands-on experience with cloud data platforms, lakehouse architecture, data products, data governance, and modern data engineering.
• Strong experience designing data architectures for AI/GenAI use cases.
• Experience with Semantic Layers, Vector Databases, Knowledge Graphs, RAG, Metadata Management, and AI-ready Data Foundations.
• Experience defining enterprise architecture strategy, standards, and reusable solutions.
• Ability to translate business requirements into scalable and commercially viable architecture solutions.
• Strong consulting, stakeholder management, communication, mentoring, and influencing skills.
• Retail / CPG domain experience preferred. Key Skills for Sourcing Data Architecture | Data Engineering | Cloud Data Platforms | Lakehouse | Data Governance | Data Products | Semantic Layer | Vector Database | Knowledge Graph | RAG | GenAI | Metadata Management | Retail | CPG Main changes:
Removed the company/client name and cluster-specific references, while preserving the original responsibilities and technical requirements in a recruiter-ready format.
• Lead AI and Agentic AI architecture for UST's Retail & CPG cluster, designing reusable frameworks, platforms, and industry solutions that can be adopted across clients and offerings.
Key Responsibilities
Define AI architecture, standards, and reference patterns for UST's Retail & CPG cluster.
• Design and build reusable AI frameworks, accelerators, agents, and industry solutions that can be adopted across multiple clients and offerings.
• Identify common industry and client needs and translate them into scalable AI capabilities and platforms.
• Support strategic pursuits, solution workshops, and complex client transformation programs.
• Lead the Agentic AI pod and drive adoption of AI engineering and FDE practices across the cluster.
• Mentor architects and engineering teams on emerging AI technologies, governance, and best practices.
• Qualifications15
- 20 years of experience in software, data, and enterprise architecture, with hands-on experience designing and delivering Agentic AI solutions.
• Expertise in LLMs, Agentic AI, RAG, AI orchestration, evaluation, and governance frameworks.
• Experience building enterprise-scale AI solutions using Azure, AWS, Google Cloud, or leading AI platforms.
• Strong understanding of AI engineering, MLOps, responsible AI, security, and enterprise integration patterns.
• Experience defining AI strategy, architecture standards, and reusable capabilities across multiple accounts, business units, or industry portfolios.
• Ability to translate business problems into scalable, commercially viable AI solutions, platforms, and industry offerings.
• Solid consulting,
communication, stakeholder management, mentoring, and influencing skills.
• Retail or CPG industry experience preferred. Sure. Similar to the previous Data Architect JD, I’ve removed UST/client-specific references and made this suitable for external sourcing. Job Title: AI / Agentic AI Architect – Retail & CPG
About the Role
We are looking for an experienced AI / Agentic AI Architect to lead the design and development of scalable, reusable AI frameworks, platforms, agents, and industry solutions for the Retail & CPG domain.
Key Responsibilities
• Define AI and Agentic AI architecture, standards, reference patterns, and best practices.
• Design reusable AI frameworks, accelerators, intelligent agents, and industry solutions.
• Translate business and industry requirements into scalable AI capabilities and platforms.
• Support strategic pursuits, solution workshops, and complex AI transformation programs.
• Lead Agentic AI initiatives and drive adoption of AI Engineering and FDE practices.
• Guide architecture decisions across LLMs, RAG, AI orchestration, evaluation, and governance.
• Mentor architects and engineering teams on emerging AI technologies, governance, security, and best practices. Required Experience & Skills
• 15–20 years of experience in Software, Data, and Enterprise Architecture.
• Strong hands-on experience designing and delivering Agentic AI solutions.
• Expertise in LLMs, Agentic AI, RAG, AI Orchestration, AI Evaluation, and Governance frameworks.
• Experience building enterprise-scale AI solutions using Azure, AWS, Google Cloud, or other leading AI platforms.
• Strong understanding of AI Engineering, MLOps, Responsible AI, Security, and Enterprise Integration.
• Experience defining AI strategy, architecture standards, and reusable capabilities across multiple business units or portfolios.
• Ability to translate business problems into scalable and commercially viable AI solutions.
• Strong consulting, communication, stakeholder management, mentoring, and influencing skills.
• Retail / CPG domain experience preferred.
📌 AI / Agentic AI Architect – Retail & CPG - 15+ YoE - Any UST Location - Immediate joiner (Bengaluru)
🏢 UST
📍 Bengaluru