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

Accenture Infrastructure and Capital Projects, LLC; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Accenture Infrastructure and Capital Projects, LLC is seeking an AI Architect — Consultant to lead GenAI strategy and architecture initiatives for global clients. You will drive advisory to production-grade GenAI deployments across enterprise ecosystems, collaborating with cross-functional teams and executives.

The role emphasizes designing agentic AI workflows, governance, and value realization, with experience across cloud and non-cloud platforms and strong client engagement skills.

Qualifications

• 5 to 9 years of experience in AI strategy and architecture consulting.
• Design agentic AI workflows and production-grade GenAI solutions.
• Deep knowledge of LLM architecture, prompt engineering and AI governance.

Responsibilities

• Lead discovery workshops to elicit GenAI opportunities and client pain points.
• Design and guide enterprise-wide GenAI architectures and roadmaps.
• Evaluate options for AI productionisation, MLOps and governance.

Skills

LLM Architecture

Prompt Engineering

GenAI Platforms

Multi-Agent Orchestration

MLOps

AI Governance

Tools

LangChain

AutoGen

CrewAI

Vertex AI

Azure Copilot

Job description

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

Jul 3, 2026

AI Architect — Consultant

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.

Areas of Work: GenAI Strategy & Architecture

Level: Consultant

Years of Experience: 5 to 9 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.
• 3 – 5 years of Strategy Consulting experience at a consulting firm.
• 2+ 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.
• 2+ 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.
• 2+ years of experience