Autonomous Business Solutions Lead

1 day ago

Gurgaon, Haryana, India beBeeArtificial Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Job Title:

AI Systems Architect

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Job Description

This is a challenging role that involves leading cross-functional teams in the design, development and deployment of advanced AI agents and multi-modal AI solutions. As an AI Decision Science Manager, you will oversee the end-to-end lifecycle of AI projects from requirements gathering to deployment and post-implementation support.

You will provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies. You will define and communicate a strategic vision for AI agent solutions ensuring alignment with client business objectives.

As a trusted advisor to clients, you will translate complex AI concepts into actionable business solutions driving discussions on Gen AI best practices, risk management, AI safety, and governance.

Key Responsibilities include designing and implementing sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures. You will develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously.

Implementing Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs. Building and deploying Generative AI applications with advanced reasoning, planning, and execution capabilities.

Leverage Advanced Data Science Techniques by developing 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 by building and deploying 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.

Required Skills & Qualifications
  • 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.
Benefits

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.

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