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

TymblHub; Gurugram District; On-site; INR 2,270,000 - 2,510,000; Full time

Job summary

Accenture Solutions Pvt Ltd in Gurugram is seeking an AI Decision Science Consultant to lead the design, development and deployment of autonomous AI agents and multi-modal systems that can reason, plan, and act across complex business workflows.

You will leverage Generative AI frameworks, MCP integrations and cloud platforms to deliver scalable AI solutions, with emphasis on agent orchestration, data quality, and iterative model improvements across industries.

Qualifications

• Minimum 4 years of AI/ML experience with Generative AI and agentic systems.
• Experience designing autonomous AI agents and orchestration architectures.

Responsibilities

• Design, develop and deploy AI agents and multi-modal solutions.
• Lead integration of MCP and external tools/APIs.
• Develop data pipelines, CV/ML models, and RAG-enabled workflows.
• Collaborate to deploy on cloud platforms (AWS/Azure/GCP).

Skills

Generative AI

Agentic AI Systems

Model Context Protocol

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Education

Bachelor's or Master's in Statistics, CS, Mathematics, AI/ML or related

Tools

AWS

Azure

GCP

Docker

Kubernetes

Spark

MLOps pipelines

Job description

# S&C Global Network - AI - CDI - Data Science ConsultantAccenture Solutions Pvt LtdPosted on October 23, 2026---Experience4 - 9 yrsSalary (CTC)₹22.7L - ₹25.1LJob LocationGurugram, IndiaVacancy1DesignationData Science ConsultantJob TypeNot specified---## 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 **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 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. 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 **Qualification** **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