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Accenture - Data Science Manager - CDI

Accenture - Data Science Manager - CDI

Accenture OperationHyderabad
11 days ago
Job description

Job Title - Ind & Function 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.

    (ref : hirist.tech)

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