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

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.

Roles & Responsibilities:

– Strategic Leadership & Project Delivery o Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support o Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies o Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives

- Client & Stakeholder Engagement

o Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions o Drive discussions on Gen AI best practices, risk management,



AI safety, and governance – Advanced Generative AI & Agentic System Development o Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities

– Leverage Advanced Data Science Techniques:

o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).

o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.

– Develop and Implement AI Models:

o Build and deploy AI models and Generative AI applications.

o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.

o Evaluate model performance and implement iterative improvements.

– Solution Integration and Deployment:

o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.

o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.





– Innovation and Knowledge Sharing:

o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.

o 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

About Our Company | Accenture

Qualification

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 setting

Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record

📌 S&C Global Network - AI - CDI - Data Science Manager (Gurugram)
🏢 Accenture
📍 Gurugram