S&C GN - Tech Strategy & Transformation - Gen AI/AI Architect – Manager

Role

Accenture Technology Strategy & Transformation is hiring a Manager for AI/Gen AI Architecture to design enterprise agentic AI architectures, lead client engagements, and deliver high-impact AI transformation programs. The role balances architecture strategy, hands-on prototyping, cloud AI platform design, and practice-building activities.

Key Responsibilities

• Architecture & Strategy: design enterprise-wide agentic AI architectures covering data foundation, semantic/ontology layers, context orchestration, multi-agent orchestration, memory/state management, guardrails, and governance.
• Hands-On Technical Delivery: build MVPs and prototypes using vibe coding tools to validate concepts; advise on LLM/SLM selection, RAG architectures, fine-tuning, vector databases, embeddings, and prompt engineering.
• Cloud & Platform Design: architect solutions on cloud AI platforms (Vertex AI/Gemini, Azure AI/OpenAI, Amazon Bedrock, Anthropic Claude) and assess agentic capabilities and limitations.
• Responsible AI & Security: design decision boundaries, accountability chains, bias mitigation, prompt injection defenses, sandboxing, credential management, and audit logging for agentic systems.
• Client Engagement: run discovery workshops, lead architecture design sessions, build business cases, present architecture blueprints to CxO audiences, and drive measurable value delivery.
• Practice Building & Leadership: codify methods into reusable assets, develop accelerators and demos, mentor team members, and manage engagement budgets and forecasting.

Requirements

• Senior-level consulting/architecture experience; posting lists 10–14 years (other section references 7–11 years) 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: multi-agent orchestration, tool-use frameworks, context management, memory/state, and guardrails.
• Strong understanding of semantic layers, ontologies, and knowledge graphs for context-aware systems.
• Enterprise Architecture knowledge (TOGAF or equivalent) and ability to connect AI architecture to enterprise landscapes.
• In-depth knowledge of LLMs/SLMs, token economics, fine-tuning vs. RAG trade-offs, embeddings, and vector DBs.
• Experience with data management frameworks (DCAM, DAMA) covering quality, cataloging, and governance.
• Hands-on experience with cloud AI platforms (Vertex AI, Azure AI, Bedrock, Claude) and their agentic constraints.
• Proven ability to engage at CxO level and create L1–L3 architecture artifacts (experience with draw.io, Visio, Lucidchart).

Good to Have

• Hands-on prototyping experience with vibe coding tools (Lovable, Claude Code, Cursor, Replit).
• Familiarity with agent orchestration frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel.
• Experience creating consulting offers, reusable accelerators, and scalable playbooks; cloud AI certifications desirable (Azure/AWS/Google).

Location & Level

• Level: Manager
• Primary locations listed: Bangalore, Gurgaon, Mumbai, Pune, Hyderabad, Kolkata, Chennai
• Senior consulting/architecture experience expected

What the Role Offers

• Work on transformative projects with Global 2000 clients and cross-functional leaders.
• Personalized training modules, mentorship, and opportunities to codify and scale IP and offerings.
• A collaborative, inclusive culture focused on responsible business practices and career growth.