Senior AI Platforms Architect — Cloud, Data & GenAI

Sia; San Francisco (CA); Sur place; USD 137 000 - 142 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision

401(k) with company match

Paid parental leave

Generous PTO

Company holidays

Résumé du poste

Sia is seeking a seasoned Solution Architect to join its AI Platforms team in a staff-level role. You will translate complex business requirements into scalable data and AI architectures across cloud and generative AI domains, working with CIOs and engineering leads to align with security and cost constraints.

You will also contribute to pre-sales, mentor juniors, and help shape internal accelerators while staying current on cloud services and AI frameworks.

Qualifications

• Master’s degree in computer science, engineering, or related field.
• 4–7 years in solution/ cloud architecture or senior engineering with design responsibilities.
• Deep expertise in two or more cloud ecosystems and AI platforms.
• Proven ability to engage with senior client stakeholders and translate needs.

Responsabilités

• Define end-to-end technical architecture for data and AI projects.
• Lead architecture reviews and governance across workstreams.
• Provide hands-on guidance and remove technical impediments.
• Contribute to pre-sales with scoping, estimates, and proposals.
• Mentor juniors and contribute to internal IP and reference architectures.

Connaissances

French fluency

English proficiency

Strong communication

Problem solving

Stakeholder engagement

Formation

Master’s degree in CS/Engineering

Outils

AWS

Azure

GCP

Databricks

OpenAI

Anthropic

NVIDIA

Description du poste

Sia is seeking a seasoned Solution Architect to join its AI Platforms team in a staff-level role. You will translate complex business requirements into scalable data and AI architectures across cloud and generative AI domains, working with CIOs and engineering leads to align with security and cost constraints.

You will also contribute to pre-sales, mentor juniors, and help shape internal accelerators while staying current on cloud services and AI frameworks.