AI Solutions Strategist

19 hours ago

Bengaluru, Karnataka, India beBeeAgentic Full time US$ 18,00,000 - US$ 23,00,000
Job Description

We are seeking an experienced AI solutions strategist to lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions.

About the Role:

This role requires a trusted advisor who can define and implement Gen AI and agentic AI strategies, ensuring successful delivery of large-scale AI initiatives.

Key Responsibilities:

  • 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.
  • 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.
  • Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, Crew AI, 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.
  • Leverage Advanced Data Science Techniques: Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).
  • Build and deploy AI models and Generative AI applications.
  • Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.
  • Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.

Requirements:

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.

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions.

Strong understanding of AI safety, alignment, and governance principles for autonomous systems.

Experience with enterprise-grade AI agent deployments and production system management.

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