S&C Global Network - AI - Insurance -Manager

Accenture in India; Bengaluru; On-site; INR 400,000 - 700,000; Full time

Job summary

Accenture in India leads the design, development, and deployment of advanced AI agents and multi-modal AI solutions from its Gurugram center. The role requires guiding cross-functional teams to deliver autonomous AI workflows that drive client outcomes and business transformation.

You will shape Gen AI and agentic AI strategies, build client relationships, and oversee end-to-end project delivery with a focus on scalability, governance, and AI safety in enterprise settings.

Qualifications

• Expert proficiency in Generative AI and agentic systems.
• Experience with MCP, LLMs, and multi-agent systems.
• Proficient in Python and SQL for AI workflows.

Responsibilities

• Oversee end-to-end lifecycle of AI projects from requirements to deployment.
• Provide guidance on Gen AI technologies to consultants and engineers.
• Define a strategic vision for AI agent solutions aligned with client goals.
• Engage with clients and stakeholders to translate AI concepts into solutions.
• Drive governance, risk management, and AI safety practices.

Skills

Generative AI

Agentic AI Systems

Model Context Protocol

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Tools

AWS

Azure

GCP

Docker

Kubernetes

Spark

Job description

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

• 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

About Our Company | Accenture