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

Accenture in India; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture is seeking an Ind & Func AI Decision Science Analyst - S&C GN to drive design, development, and deployment of autonomous AI agents and multi-modal solutions. The role focuses on orchestrating intelligent agents to automate complex business workflows across industries, leveraging MCP and advanced AI frameworks.

Gurgaon-based with global client exposure. You will lead advanced AI/agentic projects, collaborate with data science and engineering teams, and push the boundaries of autonomous

Qualifications

• Expert proficiency in Generative AI, Agentic AI Systems, MCP, LLMs, and multi-agent orchestration.
• ],

Responsibilities

• Design and implement sophisticated AI agents using AI Refinery, LangChain, AutoGen, CrewAI and custom architectures.

Skills

Generative AI

Agentic AI Systems

MCP

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

AI Refinery

LangChain

LlamaIndex

AutoGen

Crew AI

Spark

AWS/Azure/GCP

NLP

Computer Vision

Vector Databases

RAG

Function Calling

Tool Integration

Tools

Docker

Kubernetes

Spark

Job description

Job Title – Ind & Func AI Decision Science Analyst - S&C GN

Management Level : 11 - Analyst

Location: Gurgaon

Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration

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

As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations.

Roles & Responsibilities:

– 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.

Professional & Technical Skills:

– 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