Google Cloud AI Architect

Experis (Austria); Hartford (CT); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical Plans

Dental

Vision

HSA

FSA Health

FSA Dep Care

Life Insurance

Disability Insurance

Travel Insurance

401k Match

Weekly Pay

Job summary

Our client is seeking a Google Cloud AI Architect to design and lead GenAI solutions on Google Cloud, partnering closely with stakeholders to deliver secure, scalable architectures.

The role emphasizes Vertex AI, RAG patterns, guardrails, and LLMOps standards, with opportunities to mentor engineers and drive reusable patterns across teams. Some travel to onsite locations may be required.

Qualifications

• GenAI architecture experience with Vertex AI and RAG patterns.
• Ability to lead architecture reviews across engineering teams.
• Strong stakeholder management and cross-functional collaboration.
• Familiarity with Agile and SAFe delivery practices.
• Commitment to clear documentation and reusable patterns.

Responsibilities

• Design Vertex AI solutions for real-world GenAI use cases.
• Define RAG patterns to improve accuracy and relevance.
• Establish guardrails for safe, reliable GenAI behavior.
• Lead architecture reviews and guide decisions across teams.
• Define LLMOps standards and reusable architectural patterns.

Skills

GenAI Architecture

Vertex AI

Cloud Architecture

Stakeholder Management

Agile & SAFe

Documentation & Delivery

Tools

RAG

Job description

Our client is seeking a Google Cloud AI Architect to join their team. As a Google Cloud AI Architect, you will design and lead GenAI solutions on Google Cloud, partnering closely with stakeholders to deliver secure, scalable, and production-ready architectures. The ideal candidate will bring strong architecture leadership, practical GenAI implementation experience, and a commitment to documentation and delivery excellence that will align successfully in the organization.

Job Title: Google Cloud AI Architect

Location: Hartford, CT

What's the Job?

• Design Vertex AI solutions that support real-world GenAI use cases.
• Define Retrieval-Augmented Generation (RAG) patterns to improve accuracy and relevance.
• Establish guardrails to support safe, reliable, and compliant GenAI behavior.
• Lead architecture reviews and guide technical decisions across engineering teams.
• Design integrations and define LLMOps standards, including reusable patterns and operational practices.

What's Needed?

• GenAI Architecture experience with a strong understanding of RAG and guardrails.
• Cloud Architecture experience, specifically building solutions on Google Cloud.
• Stakeholder management skills and the ability to collaborate effectively across teams.
• Agile and SAFe familiarity, with a focus on clear delivery and continuous improvement.
• Strong documentation and delivery excellence, including mentoring engineers and creating reusable architecture patterns.

What's in it for me?

• Opportunity to lead GenAI architecture work using Vertex AI and modern LLMOps practices.
• Hands-on role shaping reusable patterns and standards that help teams deliver faster.
• Visibility through architecture reviews and cross-team collaboration.
• Structured onboarding with a required meet and greet for new hires.
• Clear expectations around travel to the closest onsite location when required by the project team.

Upon Completion Of Waiting Period Consultants Are Eligible For

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay