Job
Description
About The Role
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:Bachelors or Masters 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.
Qualification
Roles & Responsibilities:
Strategic Leadership & Project DeliveryOversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation supportProvide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologiesDefine and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectivesClient & Stakeholder EngagementAct as a trusted advisor to clients, translating complex AI concepts into actionable business solutionsDrive discussions on Gen AI best practices, risk management, AI safety, and governanceAdvanced Generative AI & Agentic System DevelopmentDesign and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architecturesDevelop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyImplement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIsBuild and deploy Generative AI applications with advanced reasoning, planning, and execution capabilitiesLeverage 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 systemsSpecialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systemsExperience 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 workflowsStrong understanding of AI safety, alignment, and governance principles for autonomous systemsExperience with enterprise-grade AI agent deployments and production system managementThis 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)
