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)

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

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