Lead AI Platform Architect — Cloud, Gen AI & Data

Sia; San Francisco (CA); On-site; USD 137,000 - 142,000; Part time

Job summary

Sia is seeking an experienced Solution Architect to join our AI Platforms team. This staff-level, part-time role is embedded in cross-functional project teams and offers a clear path toward engineering management for those who choose it.

You will translate complex business requirements into scalable data and AI architectures across cloud, ML, and generative AI domains, while coordinating with CIOs, CISOs, and engineering leaders. This position requires onsite work in SF and client locations.

Qualifications

• Master’s degree in computer science, engineering, or a related field.
• 4–7 years of experience in solution architecture, cloud architecture, or senior engineering with design responsibilities.
• Fluent in French; professional proficiency in English.

Responsibilities

• Define and own end-to-end technical architecture for data and AI projects—covering cloud infra, data pipelines, ML/DL model serving, generative AI apps, and agent-based systems.
• Act as the primary technical contact for client stakeholders, aligning decisions with business objectives, security, and regulatory requirements.
• Lead architecture reviews, design sessions, and governance forums to ensure quality and coherence across workstreams.
• Remove technical impediments for engineering teams and provide hands-on guidance when needed.
• Oversee the full project lifecycle from advisory through POC/MVP to production deployment.
• Ensure solutions are production-ready with scalability, reliability, observability, and cost optimization.

Skills

Excellent communication

Strong problem solving

Hands-on coding

MLOps tooling

Cloud architecture

Education

Master’s degree in CS/engineering

Certifications (e.g., AWS/Azure/Google)

Tools

Python

Terraform/IaC

AI frameworks

Job description

Sia is seeking an experienced Solution Architect to join our AI Platforms team. This staff-level, part-time role is embedded in cross-functional project teams and offers a clear path toward engineering management for those who choose it.

You will translate complex business requirements into scalable data and AI architectures across cloud, ML, and generative AI domains, while coordinating with CIOs, CISOs, and engineering leaders. This position requires onsite work in SF and client locations.