Kforce's client in New York City is looking for a Machine Learning Architect to support their Data Science team! Responsibilities include: * Develop and implement AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency; Develop architecture roadmap and strategy for GenAI Platforms and tech stacks * Responsible for the design and development of custom AI architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements * Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform * Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems * Oversee the design of scalable and reliable infrastructure for AI, ML, GenAI, LLM model training and deployment * AI Model Deployment Architecture: Lead the architecture of GenAI, LLM, machine learning models deployment patterns in production environments, with design patterns that ensure reliability and scalability * Create design of GenAI robust monitoring systems to track model performance, data quality, and infrastructure * Security and Compliance: Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations * Maintain comprehensive documentation of AI processes and procedures for reference and knowledge sharing * Build and scale production-ready AI systems that operate reliably at enterprise levels, ensuring long-term business impact