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 8 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

Job Qualifications :

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

I have been with Accenture for more than five years and I like the diversified role that I play. By offering diversified roles, which gave me the opportunity to learn different processes other than my forte is the way Accenture groomed me into becoming a leader. I believe being a woman in this industry, one can contribute in creating a positive work environment and my one advice to all women consi...