GenAI Architect/Product Manager

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Job Details

Position: GenAI Product Manager/Architect

Location: Rosemont, IL (Onsite)

Job Description:

GenAI Product Manager/Architect : Create roadmap, strategy, work towards creating AI-COE, Be hands on with prompt engineering, met prompting, develop RAG applications and AgenticAI

Role Summary:

We are seeking a highly skilled and innovative GenAI Architect to lead the design and development of cutting-edge Generative AI applications. This role will focus on building robust Retrieval Augmented Generation (RAG) pipelines and architecting sophisticated Agentic AI workflows. The ideal candidate will possess a deep understanding of AI principles, a strong background in Python programming, and hands-on experience with relevant frameworks and tools. You will be responsible for translating complex business requirements into scalable and efficient GenAI solutions, driving innovation and delivering significant value to our organization.

Responsibilities:

  • Architect and Design GenAI Solutions:
    • Design and implement end-to-end RAG pipelines for various use cases, ensuring optimal performance and accuracy.
    • Develop and architect Agentic AI workflows, enabling autonomous and intelligent task execution.
    • Evaluate and select appropriate Large Language Models (LLMs) and other AI technologies based on project requirements.
    • Create scalable and maintainable GenAI architectures that integrate seamlessly with existing systems.
  • RAG Pipeline Development:
    • Design and implement data ingestion, indexing, and retrieval strategies for RAG systems.
    • Optimize RAG pipelines for performance, accuracy, and latency.
    • Implement techniques for query understanding, document ranking, and response generation.
    • Work with vector databases.
  • Agentic AI Workflow Development:
    • Design and implement autonomous agents capable of performing complex tasks.
    • Develop orchestration frameworks for managing multiple agents and their interactions.
    • Implement tools and techniques for agent planning, execution, and monitoring.
    • Work with LangGraph.
  • Framework and Tool Expertise:
    • Stay up-to-date with the latest advancements in GenAI frameworks and tools (e.g., LangChain, AutoGen).
    • Evaluate and integrate new technologies to enhance GenAI capabilities.
    • Develop and maintain reusable components and libraries for GenAI applications.
  • Collaboration and Communication:
    • Collaborate with cross-functional teams, including data scientists, engineers, and product managers.
    • Communicate complex technical concepts to both technical and non-technical stakeholders.
    • Provide technical leadership and mentorship to junior team members.
    • Document all work.
  • Research and Innovation:
    • Conduct research and experimentation to explore new GenAI techniques and applications.
    • Identify opportunities for innovation and drive the adoption of best practices.
    • Keep up with the latest advancements in LLM technology.

Required Skills:

  • Programming:
    • Expert proficiency in Python.
    • Experience with relevant Python libraries (e.g., NumPy, Pandas, Scikit-learn).
  • Generative AI:
    • Deep understanding of Large Language Models (LLMs) and their applications.
    • Hands-on experience with RAG pipeline development and optimization.
    • Experience with Agentic AI workflows and orchestration.
    • Familiarity with vector databases (e.g., Pinecone, Weaviate, Chroma).
  • Frameworks and Tools:
    • Expertise in LangChain and LangGraph.
    • Experience with AutoGen.
    • Familiarity with other relevant GenAI frameworks and tools.
  • AI/ML Concepts:
    • Strong understanding of machine learning and deep learning concepts.
    • Experience with natural language processing (NLP) techniques.
    • Understanding of prompt engineering.
  • Software Development:
    • Experience with software development best practices (e.g., version control, testing, deployment).
    • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
  • Problem-Solving and Communication:
    • Strong analytical and problem-solving skills.
    • Excellent communication and collaboration skills.
    • Ability to work in a fast paced environment.

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