Google Cloud AI Architect

Experis Technology Group; Hartford (CT); On-site; USD 180,000 - 240,000; Full time

Job summary

Experis Technology Group's client seeks a Google Cloud AI Architect in Hartford, CT to design Vertex AI solutions for real-world GenAI use cases, define RAG patterns, and establish guardrails for safe, reliable GenAI behavior. You will lead architecture reviews and steer technical decisions across engineering teams, designing integrations and reusable LLMOps patterns.

This hands-on leadership role emphasizes mentorship, documentation, and delivering high-impact architecture patterns.

Qualifications

• Experience designing GenAI architectures and Vertex AI solutions.
• Strong understanding of Retrieval-Augmented Generation (RAG) and guardrails.
• Cloud architecture experience on Google Cloud.
• Agile and SAFe familiarity; cross-team collaboration.
• Excellent documentation and ability to mentor engineers.

Responsibilities

• Lead architecture reviews and guide technical decisions.
• Design integrations and define LLMOps standards.
• Mentor engineers and create reusable architecture patterns.
• Collaborate across engineering teams and stakeholders.
• Define guardrails for safe, reliable GenAI behavior.

Skills

GenAI architecture

RAG patterns

Agile / SAFe

Stakeholder management

Documentation

Tools

Vertex AI

Google Cloud

LLMOps

Job description

Our client is seeking a Google Cloud AI Architect to join their team.

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.