AI Innovation Lead

10 hours ago

Pune, Maharashtra, India beBeeGenerative Full time ₹ 20,00,000 - ₹ 25,00,000

AI Innovation Lead

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Hiring for AI Innovation Lead

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We are seeking a highly skilled and innovative professional to lead the development of cutting-edge Generative AI-based solutions.

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This role requires strong expertise in Generative AI, LangGraph, LangChain, and Time Series Analysis, with a deep understanding of building modular AI agents that can collaborate to deliver insights.

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The ideal candidate will have hands-on experience with agent-based architectures, knowledge of Multi-Agent Collaboration Platforms (MCP) and orchestration patterns, as well as proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, or PyTorch.

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About the Role:

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The successful candidate will be responsible for designing and implementing specialized AI agents to detect anomalies and trend shifts, prioritize alerts based on business impact, summarize complex alert information, validate and refine AI-generated results, and build and manage an orchestrator agent to coordinate and manage workflows across individual agents.

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Key Responsibilities:

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  1. ">
  2. Exploratory Data Analysis (EDA): Understand and analyze time series and performance datasets to identify patterns, trends, and outliers.">
  3. Agent Development: Design and implement specialized AI agents to detect anomalies and trend shifts, prioritize alerts based on business impact, summarize complex alert information, validate and refine AI-generated results.">
  4. Agent Orchestration: Build and manage an orchestrator agent to coordinate and manage workflows across individual agents, ensuring seamless data and insight flow.">
  5. Alerting & Communication: Develop mechanisms to notify and inform users of alerts in real-time, in a clear and actionable format.">
  6. Testing & Validation: Perform comprehensive testing of the AI system to ensure accuracy, reliability, and robustness of the generated insights.">
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Required Skills & Qualifications:

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  • Proven experience with Generative AI technologies and frameworks.">
  • Hands-on expertise with LangGraph, LangChain, and agent-based architectures.">
  • Strong knowledge of Time Series Analysis and performance metric monitoring.">
  • Familiarity with Multi-Agent Collaboration Platforms (MCP) and orchestration patterns.">
  • Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, or PyTorch.">
  • Ability to work independently and collaborate with cross-functional teams.">
  • Strong problem-solving skills and attention to detail.">
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Nice to Have:

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  • Experience with LLM tuning, RAG systems, or custom tool integrations.">
  • Knowledge of cloud platforms (AWS, GCP, Azure) for deployment and scaling.">
  • Background in alerting systems, AIOps, or business performance analytics.">
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