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

Accenture in India; Hyderabad; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Accenture Gurugram seeks an AI Decision Science Analyst to design, develop, and deploy autonomous AI agents and multi-modal solutions that can reason, plan, and act across business workflows. Lead integrations of MCP with tools and APIs, and orchestrate agents for scalable enterprise use.

The role emphasizes cutting-edge generative AI, agentic frameworks, and cloud-enabled deployments, delivering transformative value for clients through intelligent orchestration and robust system integrations.

Qualifications

• Expert proficiency in Generative AI, Agentic AI Systems, MCP and LLMs.
• Strong experience with multi-agent systems, Python and SQL.
• Experience in AI agent orchestration frameworks.

Responsibilities

• Design and implement AI agents using advanced frameworks.
• Develop multi-agent systems for autonomous workflows.
• Integrate MCP with external tools and APIs.
• Deploy Generative AI apps with reasoning and execution capabilities.
• Collaborate to deliver end-to-end AI solutions.
• Leverage cloud platforms (AWS/Azure/GCP) for development and deployment.
• Stay updated on AI advances and document methodologies.

Skills

Generative AI

Agentic AI Systems

Model Context Protocol (MCP)

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Tools

LangChain

AutoGen

CrewAI

Spark

AWS

Azure

GCP

Docker

Kubernetes

Job description

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

Management Level : 9 - Consultant

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

Job Summary: 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