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

8140 ASOL - Gurugram Non STPI Company; Mumbai; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Accenture is hiring for an Ind & Func AI Decision Science Analyst (Analyst level) at Gurugram. The role focuses on developing Generative AI and agentic systems, integrating MCP, and leveraging LLMs across multi-agent workflows. 2+ years of AI/ML experience is preferred, with a BE/BTech/MBA/MS background in related fields.

Location: Gurugram office. Exposure to cloud platforms (AWS/Azure/GCP) and enterprise AI deployments is advantageous.

Qualifications

• Minimum 2 years of AI/ML experience with Generative AI applications and agentic systems.

Responsibilities

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

Skills

Generative AI

Agentic AI Systems

Model Context Protocol

LLMs

Multi-Agent Systems

Python

SQL

AI Agent Orchestration

Education

Bachelor's degree

Master's degree

Tools

AI Refinery

LangChain

LlamaIndex

AutoGen

Crew AI

Spark

AWS

Azure

GCP

NLP

Computer Vision

Vector Databases

RAG

Function Calling

Tool Integration

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

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.
• 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

Experience:

Minimum 2 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

About Our Company | Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.

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