AI Platform Architect

Regenerative AI LLC; Palo Alto (CA); Hybrid; USD 260,000 - 380,000; Full time

Benefits offered by this job

Premium health benefits

Flexible hybrid work policy

Annual learning budget

Relocation assistance

401(k) with company match

Job summary

Regenerative AI in Palo Alto is seeking an AI Platform Architect to design and lead the infrastructure powering our AI products. You will define the technical vision for the platform and ensure it scales to meet next‑generation AI workloads.

You will architect scalable training and serving pipelines, drive security, governance, and reliability, and mentor a world‑class platform engineering team.

Join a high‑impact role with a strong compensation package, equity, and a flexible hybrid work policy.

Qualifications

• BS/MS in Computer Science or equivalent experience.
• 10+ years of software engineering experience, with 5+ years in platform/infrastructure roles.
• Experience designing ML workloads at scale.
• Strong knowledge of Kubernetes, containerization, and microservices.
• Proven leadership and communication skills.

Responsibilities

• Define the architecture and roadmap for the AI platform.
• Build scalable infrastructure for training and serving models.
• Lead cross-functional initiatives to improve performance and reliability.
• Establish security, compliance, and data governance practices.
• Mentor and grow the platform engineering team.

Skills

Kubernetes

Microservices

Cloud Architecture

Leadership

Communication

Education

BS/MS in Computer Science or equivalent

Tools

GPU clusters

Model serving infrastructure

Job description

$260,000 - $380,000 Team: Platform Infrastructure

About the Role

We're seeking an AI Platform Architect to design and build the infrastructure that powers our AI products. Based in our Palo Alto headquarters, you'll lead the technical vision for our platform, ensuring it can scale to meet the demands of next-generation AI systems. This is a high-impact role where you'll shape the technical foundation of the company.

What You'll Do

• Define the technical architecture and roadmap for our AI platform
• Design scalable, reliable infrastructure for training and serving AI models
• Lead cross-functional initiatives to improve platform performance and reliability
• Evaluate and integrate new technologies to enhance our capabilities
• Establish best practices for security, compliance, and data governance
• Partner with product and research teams to understand requirements and deliver solutions
• Build and mentor a world-class platform engineering team

Qualifications

• BS/MS in Computer Science or equivalent experience
• 10+ years of software engineering experience, with 5+ years in platform/infrastructure roles
• Experience designing systems for ML workloads at scale
• Strong knowledge of Kubernetes, containerization, and microservices
• Proven track record of leading technical initiatives and driving architectural decisions
• Excellent leadership and communication skills

Nice to Have

• Experience at companies known for technical excellence (FAANG, top startups)
• Hands-on experience with GPU clusters and high-performance computing
• Knowledge of ML frameworks and model serving infrastructure
• Experience with real-time inference systems at scale
• Background in building developer platforms or internal tools

Industry-leading compensation with significant equity

Premium health benefits for you and your family

Flexible hybrid work policy

Annual learning budget ($10,000)

Relocation assistance if needed

401(k) with generous company match

Executive coaching and leadership development

Annual company retreats and team events

Ready to Join Us?

We're excited to learn more about you. Apply now and take the next step in your career with Regenerative AI.