AI Architecture - Senior Manager
Join our team in Technology Advisory for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology
Practice: Technology Strategy & Transformation, Capability Network
IAreas of Work: AI Architecture
ILevel: Senior Manager
| Location: Bangalore/Gurgaon/Mumbai/Pune/Hyderabad/Kolkata/Chennai |
Years of Exp: 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 & Advisory.
The Practice- A Brief Sketch:
The Technology Strategy & Advisory 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 the scaling AI—and the data that fuels it all—to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster.
- Business Transformation: Assessment of AI potential and development of use cases that can transform business.
- Proof of Concepts: Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data.
- Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Created Architecture blueprint
- Product and Frameworks: Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Understands cloud data management framework as well
Bring your best skills forward to excel in the role:
Architecture & Strategy
- Design enterprise-wide Agentic AI architectures covering the data foundation layer, semantic/ontology layer, context orchestration, agent coordination, and security/governance
- Define reference architecture for multi-agent orchestration, tool-use frameworks, memory and state management, guardrails, and human-in-the-loop patterns
- Architect the data supply chain for agentic systems – from ingestion through knowledge graphs to real-time context delivery
- Assess client environments for Agentic AI readiness, identify gaps, and build practical transformation roadmaps
Hands-On Technical Delivery
- Build MVPs and prototypes using vibe coding tools (Lovable, Claude Code, Cursor, Replit) to validate concepts and demonstrate value rapidly
- Provide deep guidance on LLM/SLM selection, RAG architectures, fine-tuning strategies, vector databases, embedding models, and prompt engineering
- Architect solutions on cloud AI platforms (Google Vertex AI/Gemini, Azure AI/OpenAI, Amazon Bedrock, Anthropic Claude) with real understanding of their agentic capabilities and limitations
- Design Responsible AI frameworks for agentic systems – decision boundaries, accountability chains, bias mitigation, and data provenance
Client Engagement
- Engage stakeholders from Technical Architects to CxOs – define problem statements, scope engagements, and drive measurable value delivery
- Conduct discovery workshops and architecture design sessions to identify Agentic AI opportunities and co-design target-state architectures
- Build quantified business cases and use-case-driven value realization frameworks for AI transformations
- Create compelling architecture blueprints, strategy decks, and presentations for C-Level audiences
Practice Building
- Codify your methods, frameworks, and approaches into scalable assets so the capability can be replicated
- Create differentiated offerings, accelerators, and demo prototypes for the market
- Mentor team members to develop the hybrid strategist-architect skillset
- Manage engagement budgets, forecasting, and financial proposals
Read More About Us.
- The rise of forerunners
- Recent Blogs
Good to Have
- Hands-on ability to build MVPs using vibe coding tools (Lovable, Claude Code, Cursor, Replit, v0)
- Experience with agent orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
- Security architecture for agentic systems – prompt injection defense, agent sandboxing, credential management, audit logging
- Experience creating new consulting offers, reusable accelerators, and practice-building IP
- Track record of codifying personal expertise into scalable playbooks and training
- 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 Capability Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability 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 Capability 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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Your experience counts!
- 10–15 years of combined experience across strategy consulting, enterprise architecture, and/or AI delivery
- 4+ years designing and piloting end-to-end Enterprise AI / Gen AI solutions with architecture ownership
- Deep hands-on expertise in Agentic AI architecture: multi-agent orchestration, tool-use frameworks, context management, memory/state, guardrails
- Strong understanding of semantic layers, ontologies, knowledge graphs, and their role in context-aware agentic systems
- Enterprise Architecture knowledge (TOGAF or equivalent) with ability to connect AI architecture to the broader enterprise landscape
- Deep knowledge of LLMs and SLMs – internals, token economics, fine-tuning vs. RAG trade-offs, embeddings, vector databases
- Data management frameworks expertise (DCAM, DAMA) – Data Quality, Catalog, Governance,
- Hands-on experience with cloud AI platforms (Vertex AI, Azure AI, Bedrock, Claude) including their agentic capabilities and real-world limitations
- Responsible AI and governance frameworks for autonomous/agentic systems
- Proven ability to hold credible CxO-level conversations on AI strategy and architecture
- Architecture design skills to create L1 to L3 levels of Architectures supporting multiple architecture viewpoints ( should be expert of tools like draw.io, Visio or Lucid Chart).
