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Generative AI Solutions Architect

2 months ago

New York, New York, United States HCLTech Full time

We are looking for an experienced Generative AI Architect who possesses a robust background in both Data Science and Software Engineering. This role involves spearheading the development and integration of advanced AI solutions. You will play a crucial role in designing and guiding a small team of Generative AI Machine Learning Engineers to construct a multi-agent framework. Your main focus will be on leading the creation of Generative AI solutions aimed at enhancing technological capabilities, including Technology Assistants and Data Agents.

Key Responsibilities:

  • Engage with diverse teams, including User Teams, Data Scientists, Core Development Teams, and Partner Developers, to ascertain requirements and direct the development and evaluation of AI Agents.
  • Architect and develop engineering solutions and generative AI applications, ensuring they are scalable, efficient, and maintainable.
  • Assist in formulating the product roadmap and defining product specifications.
  • Design and architect 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 large language models (LLMs) for improved performance and specific application needs.
  • Keep updated with the latest trends in Generative AI application development and actively participate in the research and development of innovative 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 expertise in programming languages such as Java and Python, along with proficiency in ML platforms, LLMs, and machine learning.
  • Experience in constructing graph-based systems.
  • Proven track record in architecting and leading the development of extensive Generative AI systems or platforms.
  • Experience in developing 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 audiences.
  • Proven ability to quickly adapt and learn new technologies and frameworks.
  • A proactive attitude with a strong commitment to continuous learning and research.