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Accenture in India
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S&C Global Network - AI - CDI - Data Science Manager

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

Accenture in India

7 years

0 Lacs

Gurugram Haryana India

Posted:1 day ago| Platform:

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Skills Required

network ai cdi data management model python sql orchestration spark aws azure gcp vision retrieval integration ml consulting statistics mathematics design development deployment strategies drive leadership architecture cutting risk governance communication reasoning planning learning analyze docker kubernetes reinforcement training

Work Mode

On-site

Job Type

Full Time

Job Description

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

Management Level : 7 - Manager

Location: Open

Must have skills:

Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning,

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 7 years of experience in AI/ML, with demonstrated expertise leading teams in Generative AI application and agentic system delivery, preferably within a consulting or client-facing 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 Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation.,

Roles & Responsibilities:

Strategic Leadership & Project Delivery
Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support
Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies
Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives
Client & Stakeholder Engagement
Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions
Drive discussions on Gen AI best practices, risk management, AI safety, and governance

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

About Our Company | Accenture (do not remove the hyperlink)

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