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 & Prototyping: Help design and lead POCs and high-level solutions using AI or GenAI analytics to derive insights from data. Collaborate with business experts, platform engineers, and technology teams for prototyping and client implementations.
Discovery Workshops & Stakeholder Engagement: Conduct discovery workshops and design sessions to elicit AI & GenAI opportunities and client pain areas. Use advanced presentation, public speaking, and content creation skills for C-level discussions.
Solution Architecture & Technology Landscape: Assess impact to client's technology landscape/architecture; formulate guiding principles and platform components. Demonstrate knowledge of IT & enterprise architecture concepts — Cloud, API-first, MCP, agent orchestration, RAG, observability.
Budgeting & Financial Proposals: Manage budgeting and forecasting activities and build financial proposals for AI transformation engagements.

Read More About Us.

The rise of forerunners
Recent Blogs

Your Experience Counts!

MBA from a tier 1 institute preferred.
7 – 10 years of Strategy Consulting experience at a consulting firm.
5+ years of experience in designing and building end-to-end Enterprise AI and GenAI strategic solutions using cloud and non-cloud platforms — Google Vertex AI / Gemini, Azure AI / Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
Excellent understanding of Traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and Advanced Cognitive methods to derive insights and actions.
Demonstrated ability to design agentic AI workflows, including LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments.
5+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or AI & Data transformation, including value realisation and AI governance frameworks.
Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks, including bias, explainability, and regulatory compliance.
5+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing AI strategy recommendations as well as developing POCs.
Deep understanding of data supply chain and how it enables AI productionisation and scaled deployment.
Mandatory knowledge of IT & Enterprise architecture concepts through practical experience — Cloud, API-first, RAG, MCP, agent orchestration, MLOps, observability.
Strong understanding in any of the following industries preferred: Financial Services, Retail, Consumer Goods, Telecom, Life Sciences, Transportation, Automotive/Industrial, or equivalent.
Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

What's in It for You

An opportunity to work on transformative projects with key G2000 clients
Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.
Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities
Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

About Accenture

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world's largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com

About Accenture Strategy & Consulting

Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https://www.accenture.com/us-en/Careers/capability-network

Accenture Global Network | Accenture in One Word

At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team.

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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 & Prototyping: Help design and lead POCs and high-level solutions using AI or GenAI analytics to derive insights from data. Collaborate with business experts, platform engineers, and technology teams for prototyping and client implementations.
Discovery Workshops & Stakeholder Engagement: Conduct discovery workshops and design sessions to elicit AI & GenAI opportunities and client pain areas. Use advanced presentation, public speaking, and content creation skills for C-level discussions.
Solution Architecture & Technology Landscape: Assess impact to client's technology landscape/architecture; formulate guiding principles and platform components. Demonstrate knowledge of IT & enterprise architecture concepts — Cloud, API-first, MCP, agent orchestration, RAG, observability.
Budgeting & Financial Proposals: Manage budgeting and forecasting activities and build financial proposals for AI transformation engagements.

Read More About Us.

The rise of forerunners
Recent Blogs

Your Experience Counts!

MBA from a tier 1 institute preferred.
7 – 10 years of Strategy Consulting experience at a consulting firm.
5+ years of experience in designing and building end-to-end Enterprise AI and GenAI strategic solutions using cloud and non-cloud platforms — Google Vertex AI / Gemini, Azure AI / Copilot, Claude, Amazon Bedrock, IBM Watson, DataRobot, or equivalent.
Excellent understanding of Traditional AI, Generative AI, Agentic AI, multi-agent orchestration, and Advanced Cognitive methods to derive insights and actions.
Demonstrated ability to design agentic AI workflows, including LLM architecture, prompt engineering, workflow automation, and AI agent design for production environments.
5+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or AI & Data transformation, including value realisation and AI governance frameworks.
Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks, including bias, explainability, and regulatory compliance.
5+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing AI strategy recommendations as well as developing POCs.
Deep understanding of data supply chain and how it enables AI productionisation and scaled deployment.
Mandatory knowledge of IT & Enterprise architecture concepts through practical experience — Cloud, API-first, RAG, MCP, agent orchestration, MLOps, observability.
Strong understanding in any of the following industries preferred: Financial Services, Retail, Consumer Goods, Telecom, Life Sciences, Transportation, Automotive/Industrial, or equivalent.
Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

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