Gen AI Project Manager

Compunnel

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in project management focused on generative AI solutions.
  • Strong programming skills in Python with proficiency in AI libraries like TensorFlow and PyTorch.
  • Expertise in designing and deploying custom AI agents and autonomous systems.
  • Experience with data pipeline management and ensuring data integrity for AI applications.
  • Familiarity with Microsoft Copilot Studio and its functionalities is advantageous.

Responsibilities

  • Lead the design and development of generative AI solutions using advanced Python techniques.
  • Architect Retrieval-Augmented Generation pipelines to leverage external knowledge sources effectively.
  • Design and deploy custom AI agents that utilize large language models and multimodal approaches.
  • Optimize algorithms for generative AI development to enhance model performance.
  • Manage and preprocess data pipelines for improved AI training across multiple data environments.
  • Develop Microsoft Copilot Studio capabilities, including custom plugins and intelligent workflows.
  • Collaborate cross-functionally with stakeholders to establish project goals and deliver AI solutions.

Benefits

  • Opportunity to work on cutting-edge generative AI technologies.
  • Collaborative work environment with focus on innovation and solution architecture.
  • Involvement in enterprise-level projects with significant impact on business processes.
  • Hands-on experience with advanced AI tools and systems, broadening skillset and expertise.
Full Job Description
Job Summary:
The Gen AI Project Manager will lead the design, development, and delivery of generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, custom AI agents, multi-agent workflows, and Microsoft Copilot Studio solutions. The role combines strong technical expertise in Python and AI-centric technologies with project leadership, solution architecture, data pipeline management, automation, and enterprise AI integration.

Key Responsibilities:
• Lead the design, development, and implementation of generative AI solutions using Python and AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines 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 multimodal models.
• Implement and optimize complex algorithms supporting generative AI model development and performance.
• Manage data pipelines involving data preprocessing, augmentation, and synthetic data generation to improve model training and performance.
• Establish robust data handling practices, including dataset cleaning, labeling, structuring, and preparation for generative AI workflows.
• Design advanced Microsoft Copilot Studio Agent Builder capabilities, including custom plugin development, adaptive orchestration, contextual memory management, dynamic prompt engineering, and secure data handling.
• Build multi-turn agents capable of adapting and chaining AI skills and APIs to support complex business processes.
• Configure and manage message, data, scheduled, and webhook triggers for AI-powered workflows.
• Design and implement Power Automate workflows to automate business processes and tasks.
• Create logical, scalable flows for complex business processes.
• Integrate enterprise applications and services using Copilot's built-in connectors.
• Collaborate with technical and business stakeholders to define requirements, establish priorities, and deliver scalable AI solutions.
• Ensure AI solutions are designed with appropriate security, data handling, scalability, and operational considerations.

Notes:

Mandatory Areas

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

Must have Certifications - NA

Location - Sanra Clara, CA

Onsite Requirement - Yes

Number of days onsite - 5 Days

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