#ACN I&P - GN - SONG - AI & Data - Marketing - MMM NBA - Manager

8113 ASOL- Bangalore 7 SEZ Company; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture is seeking an AI Architecture Manager to design and govern architectural blueprints enabling large-scale AI transformation across enterprise environments. You will lead a team of AI and data engineers, define how AI components — including LLMs, agents, ML models, and data pipelines — are structured, coordinated and deployed across the enterprise.

You will operate platform-agnostically, designing architectures that work across cloud and hybrid environments, while shaping AI strategy

Qualifications

• Experience leading enterprise AI architecture initiatives.
• Design end-to-end AI systems spanning data ingestion to model serving.
• Proven ability to govern AI transformation programmes.

Responsibilities

• Define and own enterprise AI architecture blueprints across LLMs and data pipelines.
• Design reusable AI patterns and reference architectures at scale.
• Lead LLM orchestration layers, tool use, and multi-agent coordination.
• Establish MLOps across cloud/on-prem environments including monitoring.
• Define API design standards for AI services and integrations.
• Embed responsible AI governance and risk management into design decisions.
• Manage and mentor a team of AI and data engineers.
• Engage with C-level stakeholders to shape AI roadmaps.

Skills

Enterprise AI Architecture

LLM Orchestration

Agentic AI Frameworks

MLOps

API Design & Integration

AI Governance

Solution Architecture for AI

LangChain / LlamaIndex

RAG Architecture

Vector Databases

Team Management

Education

B.Tech/BE/MCA or equivalent

Tools

Kubernetes

Docker

Feature Stores

Model Registry & Exp Tracking

Event-driven Architecture

TOGAF / ArchiMate

Job description

Job Title - AI Architecture Manager | S&C GN

Management Level: 07 - Manager

Location: PAN India

Must Have Skills: Enterprise AI Architecture, LLM Orchestration, Agentic AI Frameworks, MLOps, API Design & Integration, AI Governance & Responsible AI, Solution Architecture for AI Transformation, LangChain / LlamaIndex, RAG Architecture, Vector Databases, Team Management

Good to Have Skills: Kubernetes / Docker, Feature Stores, Model Registry & Experiment Tracking (MLflow / W&B), Event-driven Architecture (Kafka / Pub/Sub), TOGAF / ArchiMate

Job Summary

As an AI Architecture Manager, you will be responsible for designing and governing the architectural blueprints that enable large-scale AI transformation across enterprise environments. Your typical day will involve defining how AI components — including LLMs, agents, ML models, and data pipelines — are structured, coordinated, and deployed across the enterprise. You will lead a team of AI and data engineers, engage with senior client stakeholders to shape AI strategy and platform roadmaps, and establish the reusable patterns, standards, and governance frameworks that ensure AI systems are scalable, reliable, secure, and responsible. You will operate platform-agnostically, designing architectures that work across cloud and hybrid environments.

Roles & Responsibilities

• Define and own enterprise AI architecture blueprints — covering LLM integration, agentic systems, ML pipelines, data flows, and API layers across the enterprise.
• Design reusable AI architecture patterns and reference architectures that standardize how AI components are built, deployed, and governed at scale.
• Lead the architectural design of LLM orchestration layers, including prompt management, context handling, tool use, and multi-agent coordination.
• Establish MLOps frameworks covering model training, versioning, deployment, monitoring, and retraining pipelines across cloud and on-premise environments.
• Define API design standards and integration patterns for AI services, ensuring interoperability across enterprise systems and third-party platforms.
• Embed AI governance, responsible AI principles, and risk management frameworks into architectural design decisions.
• Manage and mentor a team of AI and data engineers, fostering a culture of architectural rigour and technical innovation.
• Engage with C-level and senior client stakeholders to translate enterprise AI transformation objectives into executable architecture roadmaps.
• Evaluate and recommend AI tooling, platforms, and frameworks — balancing build vs. buy decisions with long-term scalability and vendor independence.
• Collaborate with data, security, and infrastructure teams to ensure AI architectures are production-ready, compliant, and cost-efficient.

Professional & Technical Skills

• Must Have Skills: Deep expertise in Enterprise AI Architecture, LLM orchestration, agentic AI frameworks, MLOps, API design & integration, and AI governance; with a proven track record of leading AI architecture initiatives in enterprise transformation programmes.
• Strong ability to design end-to-end AI system architectures — spanning data ingestion, model serving, agent orchestration, and API exposure.
• Deep understanding of LLM orchestration patterns — chaining, tool use, memory, multi-agent systems, and context window management.
• Hands-on experience establishing MLOps practices — CI/CD for ML, model registries, experiment tracking, monitoring, and drift detection.
• Proficiency in API design principles (REST, GraphQL, async patterns) and integration architecture for AI services.
• Experience embedding responsible AI and governance frameworks — bias detection, explainability, audit trails, and compliance controls.
• Ability to design platform-agnostic architectures deployable across major cloud providers (AWS, GCP, Azure) and hybrid environments.
• Strong leadership and communication skills, with experience presenting AI architecture strategies to executive and non-technical audiences.

Additional Information

• The ideal candidate will bring a rare combination of deep AI engineering expertise and enterprise architecture leadership, with a demonstrated ability to design scalable, governed AI systems that accelerate transformation at an enterprise level.
• This position is based at all PAN India offices.

About Our Company | Accenture

Experience: Minimum 6 year(s) of experience is required

Educational Qualification: B.Tech/BE/MCA or equivalent in Computer Science, AI/ML, or related field

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

Equal Employment Opportunity Statement

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Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.

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