S&C GN - TS&T – Digital Foundations - AI Architect - Senior Manager

AI Architect — Senior Manager Join our team in Technology Strategy & Transformation for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from AI and GenAI architecture. Practice : Technology Strategy & Transformation, Global Network Areas of Work: GenAI Strategy & Architecture Level : Senior Manager Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad Years of Experience : 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Transformation. The Practice — A Brief Sketch The Technology Strategy & Transformation Practice is a part of Accenture Strategy and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high-performing team, you will work on scaling AI — and the data that fuels it — to power every single person and every single process. You will design and guide enterprise-wide AI & GenAI solutions, from advisory through to production-grade deployment, working at the intersection of strategy and technology. Business Case & Value Transformation: Assessment of AI potential and development of use cases — including process hotspot identification using process mining and value-led prioritisation — that can transform business operations. Agentic AI Design: Help design agentic workflows, multi-agent orchestration, and AI agent architecture for production-grade deployment using LLMs and GenAI platforms. Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/architecture and ensuring formulation of relevant guiding principles and platform components for AI solutions. Scaled AI Deployment: Evaluate options for AI productionisation and scaled deployment, including MLOps, AI governance, value realisation tracking, and change management. Bring Your Best Skills Forward to Excel in the Role Process Hotspot Identification: Identify high-value business processes where Agentic AI can eliminate friction and unlock measurable value, using process analysis, business process mapping, process mining, and value-led prioritisation frameworks across target industries. Agentic AI Design & Architecture: Design agentic workflows, multi-agent orchestration, and AI agent architecture for production deployment. Demonstrate deep expertise in LLM architecture, prompt engineering, GenAI platforms, and framework selection (LangChain, AutoGen, CrewAI, or equivalent). Enterprise AI & GenAI Strategy: Design & guide development of enterprise-wide AI & GenAI strategy for clients. Leverage strong expertise and certification in cloud AI platforms — Google Vertex AI / Gemini, Azure AI / Copilot, Claude, Amazon Bedrock, IBM Watson — as well as open-source models. Scaled AI Deployment & MLOps: Guide implementation from advisory and prototype through to production-grade, scaled AI deployment, covering AI productionisation, MLOps, AI governance, model monitoring, change management, and value realisation frameworks. Responsible AI & Governance: Have a deep understanding of Responsible AI & GenAI frameworks, including bias detection, explainability, fairness, and regulatory compliance, to engage clients in meaningful discussions and steer towards the right recommendations. Business Case & Value Realization: Define an AI use case driven value realization framework and build quantitative and qualitative business cases relevant to the client's industry. Benchmark against global research and leading industry peers. Proof of Concepts &