S&C Global Network - AI - CDI - Data Science Manager

TymblHub; Gurugram District; On-site; INR 3,800,000 - 4,200,000; Full time

Job summary

Accenture Solutions Pvt Ltd in Gurugram invites a Data Science Manager to lead cross-functional teams in designing, developing, and deploying advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows.

Define Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale initiatives and governance. Roles include client engagement, architecture, and hands-on model development.

Qualifications

• Minimum 7 years of AI/ML experience with leadership in Generative AI applications.
• Bachelor's or Master's degree in Statistics, CS, Mathematics, AI/ML or related fields.
• Experience leading teams delivering agentic AI solutions for clients.

Responsibilities

• Oversee end-to-end lifecycle of AI projects from requirements to deployment and support.
• Provide thought leadership on Gen AI and agentic AI technologies to consultants and engineers.
• Define and communicate a strategic vision for AI agent solutions aligned with client goals.
• Engage with clients and stakeholders to translate AI concepts into business value.
• Develop multi-agent systems that autonomously execute complex workflows.

Skills

Generative AI

Agentic AI

Model Context Protocol

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Machine Learning

Education

BE/BTech/MBA/MS

Tools

LangChain

AutoGen

CrewAI

AI Refinery

Spark

Docker

Kubernetes

AWS

Azure

GCP

MLOps

Job description

# S&C Global Network - AI - CDI - Data Science ManagerAccenture Solutions Pvt LtdPosted on October 20, 2026---Experience7 - 12 yrsSalary (CTC)₹38L - ₹42LJob LocationGurugram, IndiaVacancy1DesignationData Science ManagerJob TypeNot specified---## Job Description**About The Role** **Job Title – Ind & Func AI Decision Science Manager - S&C GN** **Management Level :7 - Manager** **Location:Open** **Must have skills:**Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning, **Good to have skills:**AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration **Experience:**Minimum 7 years of experience in AI/ML, with demonstrated expertise leading teams in Generative AI application and agentic system delivery, preferably within a consulting or client-facing environment **Educational Qualification:**Bachelors or Masters degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record **Job****Summary**:As an AI Decision Science Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation. **Qualification** **Roles & Responsibilities:** - Strategic Leadership & Project Delivery- Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support- Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies- Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives- Client & Stakeholder Engagement- Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions- Drive discussions on Gen AI best practices, risk management, AI safety, and governance- Advanced Generative AI & Agentic System Development- Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures- Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously- Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs- Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities- Leverage Advanced Data Science Techniques:- Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).- Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.- Develop and Implement AI Models:- Build and deploy AI models and Generative AI applications.- Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.- Evaluate model performance and implement iterative improvements.- Solution Integration and Deployment:- Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.- Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.- Innovation and Knowledge Sharing:- Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.- Document methodologies and findings for effective knowledge sharing. **Professional & Technical****Skills:**- Must To Have **Skills:**- Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks.- Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems- Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems- Experience in developing and AI/ML models. The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows - Strong understanding of AI safety, alignment, and governance principles for autonomous systems- Experience with enterprise-grade AI agent deployments and production system management- This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects