Title:  Senior Solutions Architect (AI/ML)

Job Summary

• As a Senior Machine Learning Solutions Architect at NetApp, you will be at the forefront of driving innovation by designing and implementing cutting-edge Generative AI (GenAI) and Machine Learning (ML) solutions. 
• Your work will empower our internal sales teams, partners, and customers with actionable insights derived from advanced analytics.
• You will lead the design of scalable, robust, and production-ready AI/ML systems, from real-time predictive analytics to LLM-driven automation, ensuring seamless integration into our existing infrastructure.
• Collaborating with cross-functional teams, including senior software developers, technical directors, and business stakeholders, you will play a pivotal role in shaping the future of data-driven decision-making at NetApp.
• This role demands a creative, results-driven, and collaborative individual who thrives in a fast-paced environment and is passionate about leveraging AI/ML to solve complex business challenges.

Job Requirements

• Architect and Deploy AI/ML Solutions.
• Design, develop, and implement scalable and robust ML systems using techniques such as classical machine learning, Generative AI models (e.g., LLMs), and AI agents.
• Ensure the reliability, scalability, and performance of AI/ML models in production environments.
• Oversee ML design reviews and establish best practices for end-to-end ML systems, including MLOps and CI/CD pipelines.
• Collaborate Across Teams.
• Partner with data engineers to build scalable data pipelines for AI/ML-driven solutions, including curated data pipelines, ML feature pipelines, and deployment services.
• Work closely with business stakeholders to identify and unlock new use cases, driving innovation through data intelligence.
• Participate in cross-functional meetings, workshops, and planning sessions to align data engineering and AI/ML initiatives with organizational goals.
• Technical Leadership and Mentorship.
• Act as a technical thought leader in the AI/ML space, providing guidance on data governance, model lifecycle management, and MLOps practices.
• Mentor and coach data scientists and cross-functional team members, fostering a culture of innovation, collaboration, and continuous learning.
• Industry Representation.
• Represent NetApp as a leader and ambassador in the AI/ML community, building relationships with external partners and promoting the company’s capabilities at industry and academic conferences.

Education

• Master’s or Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Science, or a related field.
• 10+ years of experience as a Data and Machine Learning Engineer, with a proven track record of architecting, designing, and implementing end-to-end ML solutions, building scalable data/feature pipelines, and shipping AI/ML-driven products at scale.
• Recent experience with experimenting and deploying Large Language Models (LLMs) to production is a strong.