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West Monroe

Digital consulting for business transformation

Agentic AI Architect-Google Cloud

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of experience in software engineering, cloud architecture, or platform engineering designing and delivering enterprise applications.
  • At least 3 years of experience architecting and implementing solutions on Google Cloud Platform.
  • Strong software engineering background with proficiency in Java, Python, Go, or TypeScript, and experience building distributed systems, application programming interfaces, and microservices.
  • Hands-on experience with Vertex AI, Gemini application programming interfaces, Agent Development Kit, Agent Engine, Vertex AI Search, Vector Search, or comparable generative AI platforms.
  • Experience designing or implementing agentic artificial intelligence solutions, multi-agent orchestration, tool calling, prompt engineering, Retrieval-Augmented Generation, and enterprise AI application architectures.
  • Experience with Kubernetes, Docker, Google Kubernetes Engine, Cloud Run, Terraform, GitHub Actions or Cloud Build, continuous integration and delivery pipelines, and DevSecOps practices.
  • Knowledge of cloud networking, identity and access management, security, observability, reliability engineering, and enterprise platform governance.
  • Experience integrating enterprise data platforms, application programming interfaces, vector databases, knowledge retrieval systems, and AI services into scalable software solutions.
  • Understanding of Responsible AI principles, model evaluation, AI governance, and secure deployment of production AI systems.
  • Experience integrating AI tools such as ChatGPT into day-to-day workflows to enhance productivity and insight generation, and critically assessing accuracy, mitigating bias, and ensuring high-quality outputs.
  • Ability to travel 25 to 50%.
  • Ability to work permanently in the United States without sponsorship.

Responsibilities

  • Serve as the AI architecture and technical delivery lead, partnering with client executives to translate business strategy into a prioritized Google Cloud roadmap, target architecture, investment case, and measurable outcomes.
  • Design scalable AI solutions using Gemini Enterprise Agent Platform, Gemini models, Agent Development Kit, Agent Engine, Vertex AI Search, Vector Search, Retrieval-Augmented Generation, and Model Context Protocol integrations.
  • Architect cloud-native applications using Google Kubernetes Engine, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, Cloud SQL, and Infrastructure as Code.
  • Design multi-agent architectures that include orchestration, tool integration, memory management, observability, governance, and secure deployment patterns.
  • Lead architecture reviews and establish engineering standards for software quality, security, scalability, DevSecOps, continuous integration and delivery, testing strategies, and production readiness.
  • Guide clients through AI platform modernization initiatives while balancing innovation, security, governance, compliance, and operational excellence.
  • Collaborate with software engineers, platform engineers, data engineers, machine learning engineers, and client stakeholders to deliver enterprise AI solutions.
  • Build and deploy production-level AI solutions and software to client environments as part of delivery teams and the full software development lifecycle.
  • Establish technical direction and provide hands-on leadership through architecture reviews, design reviews, code reviews, engineering standards, troubleshooting, and production-readiness assessments.
  • Implement AI-enabled engineering practices within project teams to help accelerate development.
  • Mentor technical teams, provide architectural guidance across multiple engagements, and develop reusable engineering patterns and accelerators.
  • Build consensus across client, vendor, data, security, architecture, and engineering stakeholders when technical requirements or organizational priorities conflict.
  • Use AI tools to accelerate analysis, synthesize complex information, and support data-driven client recommendations, exercising sound judgment in evaluating outputs.
  • Apply AI technologies, including generative AI, automation tools, and data models, to enhance insights, improve delivery efficiency, and elevate client outcomes.
  • Serve as the Agentic AI Architect – Google Cloud and technical subject matter expert during pursuits, executive workshops, and client strategy engagements.
  • Develop AI platform roadmaps, solution architectures, technical estimates, and implementation strategies for enterprise clients.
  • Build trusted relationships with technology executives, engineering leaders, and Google Cloud stakeholders.
  • Identify opportunities to expand cloud modernization, AI platform engineering, intelligent application development, and software engineering engagements.
  • Support proposals, thought leadership, demonstrations, and technical solution development.
  • Establish and expand the Agentic AI Architect – Google Cloud capability by developing reusable assets, reference architectures, engineering standards, and delivery accelerators for Google Cloud AI solutions.
  • Mentor consultants and engineers while promoting software engineering excellence and cloud-native architecture best practices.
  • Contribute to internal knowledge sharing, technical communities, white papers, and industry presentations focused on Google Cloud AI and agentic application development.
  • Stay current with emerging Google Cloud technologies, AI frameworks, and software engineering practices to evolve West Monroe's AI Engineering capabilities.

Desired Qualifications

  • Google Cloud Professional Cloud Architect certification is preferred.
  • Professional Machine Learning Engineer, Generative AI Leader, or Generative AI Engineer certifications are a plus.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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