Join our innovative team as an AI Decision Science Consultant, where you'll drive the design, development, and deployment of advanced AI agents and multi-modal AI solutions. You will craft intelligent systems capable of autonomously executing complex business workflows.

Leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to build systems that can reason, plan, and act independently. Your expertise will be pivotal in solving intricate business challenges across diverse industries, fostering innovation in autonomous AI solutions.

This role offers the opportunity to deliver transformative value for clients through intelligent agent orchestration and seamless system integrations, contributing to the forefront of AI advancement.

Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, and CrewAI. Develop multi-agent systems for collaborative workflow execution and autonomous negotiation. Integrate Model Context Protocol (MCP) for seamless communication between AI systems and external tools.

Build and deploy Generative AI applications featuring advanced reasoning, planning, and execution capabilities. Apply advanced data science techniques, including Computer Vision, Machine Learning, and LLMs, defining data requirements and ensuring data quality.

Develop and implement AI models, including training and fine-tuning LLMs. Evaluate model performance and drive iterative improvements. Collaborate on integrating AI solutions into scalable, end-to-end workflows, utilizing cloud platforms like AWS, Azure, or GCP. Stay updated on AI advancements and document methodologies for knowledge sharing.

Candidates should possess expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, and AI Agent Orchestration frameworks. A strong understanding of cloud platforms such as AWS, Azure, or GCP is essential.

Specialized knowledge in NLP, Computer Vision, Reinforcement Learning for agent training, and Multi-modal AI systems is highly valued. Experience in developing and deploying AI/ML models is required.

The ideal candidate brings deep expertise in agentic AI systems with a proven track record in building autonomous AI solutions. A strong grasp of AI safety, alignment, and governance principles for autonomous systems, along with experience in enterprise-grade AI agent deployments, is expected. This position is based in our Gurugram office, with opportunities to lead cutting-edge AI innovation projects.