S&C Global Network - AI - Software & Platform - Gen AI - Manager

Accenture; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture is seeking a Level 7 Ind & Func AI Decision Science Manager to lead AI strategy and delivery for Software & Platform clients. Based across S&C GN locations in India, you will drive end-to-end AI initiatives, combining GenAI, LLMs, and Azure capabilities to deliver business value and operational efficiency.

You will mentor teams, manage complex programs, and collaborate with clients to define roadmaps and outcomes in a fast-paced, global environment.

Qualifications

• 7+ years of AI project management experience.
• Experience with Generative AI frameworks and LLMs.
• Proficiency in Azure AI ecosystem and cloud-native patterns.
• Experience with RAG, prompt engineering.

Responsibilities

• Oversee end-to-end AI projects from concept to deployment.
• Define AI strategies and roadmaps for clients.
• Lead cross-functional teams across data science, engineering, and business.
• Engage clients and manage relationships.
• Mentor AI professionals and drive innovation.

Skills

AI Strategy

AI Project Mgmt

Generative AI

LLM Design

Azure AI

Client Engagement

Team Leadership

Education

Bachelor's/Master's in CS/Engineering

Tools

Azure

Python

R

Java

Job description

Entity:- Accenture Strategy & Consulting

Team:- Global Network - Data & AI

Practice:- CMT - Software & Platforms

Title:- Level 7 - Ind & Func AI Decision Science Manager

Job location:- Across All S&C GN Locations

About S&C - Global Network:

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.?Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

About the Software & Platforms Team

The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.

WHAT-S IN IT FOR YOU?

• As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
• Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications.
• In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role

As a Data Science Manager at Accenture, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients. Your responsibilities will involve overseeing the end-to-end process of designing, building, and deploying AI-powered systems that deliver business value and enhance operational efficiency.

Key Responsibilities

Strategy and Planning:

• Collaborate with clients to understand their business objectives and identify AI opportunities.
• Develop AI strategies and roadmaps that align with client goals and Accenture's capabilities.
• Conduct market research and stay updated on the latest advancements and trends in AI technologies.

Project Management:

• Lead and manage cross-functional teams for multiple projects throughout the project lifecycle.
• Define project scope, deliverables, timelines, and resource allocation.
• Ensure project milestones are achieved within budget and meet quality standards.
• Monitor project progress, identify risks, and develop mitigation strategies.

AI Solution Design and Development:

• Work closely with data scientists, engineers, and business analysts to design AI solutions.
• Identify appropriate AI algorithms and techniques to solve specific business problems.
• Oversee the development and testing of AI models, ensuring accuracy and reliability.
• Collaborate with IT teams to integrate AI solutions into existing technological ecosystems. Design and implement GenAI and LLM-driven architectures, including RAG pipelines, prompt engineering strategies
• Build agentic AI solutions capable of multi-step reasoning, autonomous task execution, and tool orchestration to optimize business workflows.
• Leverage the Microsoft Azure AI ecosystem to develop secure, scalable enterprise-grade AI solutions.
• Integrate AI capabilities with Microsoft 365 Copilot extensibility and Azure data services to enhance end-to-end business processes.

Client Engagement and Relationship Management:

• Build and maintain strong relationships with clients, acting as a trusted advisor.
• Present and communicate AI concepts, solutions, and project updates to client stakeholders.
• Identify upselling and cross-selling opportunities to expand client engagements.
• Provide guidance and support to clients in leveraging AI capabilities for business growth.

Team Leadership and Development:

• Mentor and guide a team of AI professionals, fostering a culture of innovation and excellence.
• Develop talent within the team, providing coaching and training as necessary.
• Promote collaboration and knowledge sharing across project teams and the broader organization.

Qualification

Job Qualifications

• Bachelor's or Master's degree in computer science, engineering, data science, or a related quantitative field.
• Experience working for large Software or Platform organizations.
• Proven experience (7+ years) in managing AI projects and delivering successful outcomes.
• Hands-On exposure to Generative AI frameworks and implementations
• Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc.
• Hands-on experience with Generative AI and LLM-based solution design, including RAG, prompt engineering
• Strong understanding of agentic AI architectures, autonomous workflows, and multi-step reasoning systems.
• Proficiency with the Microsoft Azure AI ecosystem
• Experience integrating AI solutions with Microsoft 365 Copilot and Azure-based enterprise systems.
• Ability to architect and deploy scalable, secure AI solutions using cloud-native patterns within the Microsoft stack.
• Proficiency in programming languages such as Python, R, or Java.
• Excellent analytical and problem-solving skills, with a data-driven mindset.
• Strong project management abilities, including planning, resource management, and risk assessment.
• Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.