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

Accenture; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Accenture is seeking an AI Decision Science Analyst to lead the design, development, and deployment of autonomous AI agents and multi-modal solutions that can reason, plan, and act to solve complex business challenges. You will integrate Generative AI frameworks and MCP to enable intelligent agent orchestration across industries.

The role requires 4+ years in AI/ML, strong proficiency in Python/SQL, and experience with enterprise AI deployments.

Qualifications

• Minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment.
• Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record.

Responsibilities

• Advanced Generative AI & Agentic System Development
• Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom architectures
• Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously
• Implement 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 data science techniques including Computer Vision and ML to develop AI models and solutions

Skills

Generative AI

Agentic AI Systems

Model Context Protocol

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

NLP

Computer Vision

Reinforcement Learning

Cloud Platforms

Education

Bachelor's or Master's degree in Statistics/CS/Math/AI/ML

Tools

Docker

Kubernetes

Spark

MLOps pipelines

LangChain

LlamaIndex

AutoGen

Job description

About The Role

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

Experience

Minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment

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

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.

Qualification

Professional & Technical Skills

• Must To HaveSkills:
• 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 (do not remove the hyperlink)