AI Platform Engineering Director

2 days ago

New York, New York, United States Aegistech Full time
Associate Director of Generative AI Platform Engineering

Aegistech is a leader in automation and AI/ML to transform risk management. We are seeking an Associate Director of Generative AI Platform Engineering to join our ML team within the Data Science organization. The ideal candidate is an innovative, hands-on coder with previous experience developing large-scale platforms utilizing data engineering, machine learning, and cloud platforms & services.

This role will be a critical part of leading our AI-driven transformation to drive value both internally and externally for our customers. As a key member of our team, you will work closely with experts in AI & ML, ML engineers, and data science and data engineering teams to design, develop, and deploy a generative AI platform.

Responsibilities:
  • Lead the design, development, and deployment of a generative AI platform, ensuring optimal integration with enterprise systems and standards.
  • Act as a hands-on developer and architect, creating a robust and scalable solution tailored to support AI-driven applications.
  • Demonstrate technical leadership and hands-on expertise in generative AI technologies and cloud architecture.
  • Responsible for the full stack development of the platform for AI products, including custom architecture for batch and stream processing-based AI ML pipelines.
  • Ensure the deployment and management of scalable and reliable platform and application infrastructure for AI, ML, GenAI, LLM products.
  • Lead the development, integration, and testing of scalable APIs.
  • Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Implement security measures and compliance standards of the platform and APIs to ensure adherence to industry regulations.
  • Mentor technical engineering talent and provide guidance and mentorship to junior engineers.
Qualifications:
  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • Deep understanding of platform development and deployment at the scale of large enterprises.
  • Strong distributed systems skills and knowledge, strong system architecture skills.
  • 7+ years of hands-on cloud platform engineering experience, preferably with AI/ML development experience.
  • Significant hands-on development experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions, including integration with enterprise applications and APIs.
  • Experience with MLOps tools/frameworks, such as MLflow or similar.
  • Strong knowledge and deep experience of Python, proficiency in multiple programming languages and frameworks relevant to cloud development, such as Kubernetes, Serverless, and cloud PaaS offerings.
  • Experience and knowledge of foundational Generative AI principles, such as prompt engineering, RAG, finetuning, etc.
  • Experience with full-stack engineering development for deep learning and LLM solutions, preferably.

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