AI Architect

Ovii's Interpretation of the Role

The AI Architect leads technical strategy for a Google Cloud‑based data and AI platform, shaping architecture across data, ML, frontend, and DevOps tracks. The role blends hands‑on engineering with cross‑track coordination and close partnership with Google’s core cloud team.

Role Snapshot

• Principal Google Cloud Architect
• Technical lead across data, ML, frontend, DevOps
• Owner of end‑to‑end architecture
• Partner liaison with Google Cloud engineering
• Mentor for senior engineers
• Hybrid individual contributor & leadership role

Must-Have Requirements

• Google Cloud Platform (Spanner, BigQuery, Dataflow)
• Terraform (IaC on GCP)
• Apache Beam / Dataflow
• CI/CD pipeline tooling (Cloud Build, Artifact Registry)
• Technical leadership & architecture
• software engineering
• technical leadership across multiple workstreams
• production‑grade systems on Google Cloud
• Must be based in Guadalajara, Mexico and able to work on‑site as required

Nice-to-Have Signals

• Python programming
• TypeScript / React
• Vertex AI / ML lifecycle
• Knowledge graph / RDF / SPARQL
• Familiarity with Google internal tools (Buganizer, Critique, Cider)
• prior Google partnership or contractor experience
• data and AI consulting

Work Setup

• Location: Guadalajara, Mexico
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Define and own architecture across all delivery tracks, adhering to Google Cloud standards
• Coordinate cross‑track dependencies, establish shared data contracts, APIs, and infrastructure configs
• Lead architecture reviews and technical syncs with Google’s core engineering team
• Set and enforce engineering best practices, coding standards, and quality gates
• Drive risk identification, resolve technical conflicts, and ensure delivery quality
• Mentor senior engineers and contribute hands‑on to critical components
• Represent CLOUDSUFI in all technical interactions with Google stakeholders
• Champion performance, reliability, and scalability from design through production

Good Fit If You Have

• Prior experience working directly with Google or through a partnership program
• Background in data and AI consulting within the Google Cloud ecosystem
• Familiarity with open data, public statistics, or knowledge‑graph use cases
• Contributions to open‑source projects related to Google Cloud tooling
• Excellent verbal and written English for senior‑level stakeholder communication