S&C Global Network - AI - CDI - Data Science Manager job opportunity at Accenture Plc.

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

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degreeBachelor's (B.Sc.)
loacation Gurugram, India
loacation Gurugram....India

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

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