Gen AI Project Manager

Cardinal Integrated Technologies Inc

  • Santa Clara, CA
  • 11 days ago

    Highlights

    Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems. Skill 2 – Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.

    Numbers & Facts

    LocationSanta Clara, CA

    Description

    Role: Gen AI Project Manager(23527-1)
    Duration: 6-12+ Months Contract
    Location: Santa Clara, CA (5 Days onsite)


    Must Have Skills
    Skill 1 – Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers
    Skill 2 – Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models
    Skill 3 – Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows

    Good To have Skills –
    Skill 1 – prompt engineering, and secure data handling

    Mandatory if Applicable
    Domain Experience (If any) – Gen AI Project Manager

    Key Responsibilities:
    • Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
    • Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
    • Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
    • Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
    • Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
    • Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
    • Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
    • Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
    • Trigger Management: Configure message, data, scheduled, and webhook triggers.
    • Automation Workflow: Design workflows with Power Automate for task automation.
    • Flow Design: Create logical, scalable flows for complex business processes.
    • Tool Integration: Use Copilot's built-in connectors to integrate enterprise apps and services seamlessly.

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