Data & AI Practice Lead - Enterprise-Scale AI, Remote

Rysun Labs; Milpitas (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Rysun Labs in Milpitas, CA, is seeking an experienced Data Practice Lead to design and implement scalable enterprise AI and data solutions. You will lead end-to-end AI/ML SaaS initiatives, define architecture, and guide cross-functional teams across data, software, and cloud platforms.

Ideal candidates bring deep expertise in AI, data science, and cloud ecosystems (Azure, AWS, GCP), with a track record translating business needs into robust, production-grade architectures and strong leadership

Qualifications

• Experience architecting AI/ML SaaS solutions for enterprise-scale applications.
• Proficiency with CrewAI, LangChain, and GenAI architectures.
• Certifications in Big Data, Machine Learning, or Cloud Architecture.

Responsibilities

• Define and implement end-to-end AI and data Practice Lead for enterprise-scale applications.
• Design data pipelines, ETL workflows, and data models to support machine learning and analytics solutions.
• Architect Agentic AI and Generative AI solutions, ensuring scalability, performance, and security.
• Collaborate with product managers, data scientists, and engineering teams to design robust, production-ready AI models.
• Establish best practices for MLOps, data governance, and cloud-native deployments.
• Evaluate and integrate emerging AI frameworks, tools, and cloud services (Azure, AWS and GCP).
• Provide technical leadership and architectural guidance to engineering teams across multiple projects.
• Partner with stakeholders to align technology strategy with business goals and drive innovation

Skills

AI/ML SaaS

CrewAI

LangChain

GenAI architectures

Education

Big Data Certification

Machine Learning Certification

Cloud Architecture Certification

Tools

Azure

AWS

GCP

Job description

Rysun Labs in Milpitas, CA, is seeking an experienced Data Practice Lead to design and implement scalable enterprise AI and data solutions. You will lead end-to-end AI/ML SaaS initiatives, define architecture, and guide cross-functional teams across data, software, and cloud platforms.

Ideal candidates bring deep expertise in AI, data science, and cloud ecosystems (Azure, AWS, GCP), with a track record translating business needs into robust, production-grade architectures and strong leadership