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Lead Architect for Generative AI Applications

2 months ago

New York, New York, United States Themesoft Inc. Full time

Position: Generative AI Application Tech Lead/Architect – 01 Opening

Location: New York (Hybrid Work Model)

Overview: We are looking for an accomplished Generative AI Technical Lead who possesses a strong foundation in both Data Science and Software Engineering. This role is pivotal in steering the development and integration of AI Solutions. You will be instrumental in architecting, designing, and leading a dedicated team of Generative AI Machine Learning Engineers to create a multi-agent framework. Your primary focus will be on spearheading the development of Generative AI solutions that enhance technological capabilities, including Technology Assistants and Data Agents.

Key Responsibilities:

  • Engage with cross-functional teams, including User Teams, Data Scientists, Core Development Teams, and Partner Developers, to ascertain requirements and guide the development and testing of AI Agents.
  • Design and create Engineering Solutions and Generative AI Applications, ensuring their scalability, efficiency, and maintainability.
  • Assist in formulating the Product Roadmap and defining product specifications.
  • Architect and design a comprehensive enterprise-scale framework, such as a Knowledge Graph.
  • Produce clean, high-performance, and maintainable code.
  • Design and implement large-scale Clustering and Topic Management systems.
  • Utilize prompt engineering techniques to optimize and enhance LLMs for improved performance and tailored application needs.
  • Stay updated on the latest advancements in Generative AI Application Development and actively contribute to the research and innovation of new Generative AI Applications.

Qualifications:

  • A Master's or Ph.D. in Computer Science or a related discipline.
  • At least 10 years of experience, with a minimum of 5 years dedicated to designing and developing ML/AI Solutions.
  • Demonstrated experience in a large Technology Startup or AI Software Product, leading the development and adoption of products or platforms.
  • Strong command of programming languages such as Java, Python, and familiarity with ML Platforms, LLMs, and Machine Learning.
  • Experience in constructing Graph-based systems.
  • Proven expertise in architecting and leading the development of extensive Generative AI systems or platforms.
  • Experience in creating technical products or platforms for large enterprises.
  • Solid understanding of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
  • Familiarity with large language models (LLMs) and prompt engineering techniques; experience with vector databases is a plus.
  • Excellent communication skills to effectively collaborate and present insights to both technical and non-technical stakeholders.
  • Proven adaptability and a quick learning curve for new technologies and frameworks.
  • A proactive approach with a commitment to continuous learning and research.