Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This highly client-facing role will lead the strategy, architecture, and engineering delivery of enterprise agentic AI solutions, with Google Cloud serving as the individual’s primary area of specialization. The architect will work directly with technology executives, business leaders, enterprise architects, and engineering teams to translate business objectives into secure, scalable, and production-ready AI solutions. This role combines enterprise AI strategy, executive advisory, deep software engineering, and delivery leadership to help clients move from experimentation to production-scale agentic AI.

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 (ADK), Agent Engine, Vertex AI Search, Vector Search, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) integrations.
Architect cloud-native applications using Google Kubernetes Engine (GKE), Cloud Run, Cloud Functions, Pub/Sub, BigQuery, Cloud SQL, and Infrastructure as Code.
Design multi-agent architectures including orchestration, tool integration, memory management, observability, governance, and secure deployment patterns.
Lead architecture reviews and establish engineering standards for software quality, security, scalability, DevSecOps, CI/CD, 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, ML engineers, and client stakeholders to deliver enterprise AI solutions.
Build and deploy production-level AI solutions and software to client environments within the full software development lifecycle.
Establish clear 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 accelerate development.
Mentor technical teams and provide architectural guidance across multiple engagements while developing reusable engineering patterns and accelerators.
Build consensus across client, vendor, data, security, architecture, and engineering stakeholders when technical requirements or organizational priorities conflict.
Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients.
Apply AI technologies to enhance insights, improve delivery efficiency, and elevate the quality of 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 of 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 continuously evolve West Monroe's AI Engineering capabilities.

Requirements

8+ years of experience in software engineering, cloud architecture, or platform engineering designing and delivering enterprise applications.
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, APIs, and microservices.
Hands-on experience with Vertex AI, Gemini APIs, Agent Development Kit (ADK), Agent Engine, Vertex AI Search, Vector Search, or comparable generative AI platforms.
Experience designing or implementing agentic AI solutions, multi-agent orchestration, tool calling, prompt engineering, Retrieval-Augmented Generation (RAG), and enterprise AI application architectures.
Experience with Kubernetes, Docker, Google Kubernetes Engine (GKE), Cloud Run, Terraform, GitHub Actions or Cloud Build, CI/CD pipelines, and DevSecOps practices.
Knowledge of cloud networking, IAM, security, observability, reliability engineering, and enterprise platform governance.
Experience integrating enterprise data platforms, APIs, 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 into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
Strong communication and consulting skills with the ability to explain complex technical concepts to engineering teams, architects, and executive stakeholders.
Ability to travel 25 to 50%.
A commitment to inclusion and diversity, and openness to new ideas and perspectives.
Ability to work permanently in the United States without sponsorship.

Skills

Google Cloud
Agentic AI
Enterprise AI
Google Cloud Platform
Java
Python
Go
TypeScript
Distributed Systems
APIs
Microservices
Vertex AI
Gemini APIs
Agent Development Kit (ADK)
Agent Engine
Vertex AI Search
Vector Search
Generative AI
Multi-agent orchestration
Tool calling
Prompt engineering
Retrieval-Augmented Generation (RAG)
Enterprise AI application architectures
Kubernetes
Docker
Google Kubernetes Engine (GKE)
Cloud Run
Terraform
GitHub Actions
Cloud Build
CI/CD pipelines
DevSecOps
Cloud networking
IAM
Security
Observability
Reliability engineering
Enterprise platform governance
Enterprise data platforms
Vector databases
Knowledge retrieval systems
Responsible AI principles
Model evaluation
AI governance
Production AI systems
AI tools
Communication
Consulting

Location

West Monroe offices
Seattle
Washington, D.C.
Los Angeles
New York City
San Francisco

Work Type

Client-facing
Travel 25 to 50%

Experience Level

8+ years of experience in software engineering, cloud architecture, or platform engineering
3+ years of experience architecting and implementing solutions on Google Cloud Platform

Education Level

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

Salary/Compensations

Seattle or Washington, D.C.: $171,300—$201,500 USD
Los Angeles: $179,400—$211,100 USD
New York City or San Francisco: $187,600—$220,700 USD
A location not listed above: $163,100—$191,900 USD

Benefits

Medical insurance
Dental insurance
Vision insurance
Basic life insurance
401k plan
Employee stock ownership program
Annual bonuses
Unlimited flexible time off
Ten paid holidays
Ten weeks of paid parental leave

About the Company

West Monroe is a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.
We are fluent in both business and technology, understanding that technology alone is not the answer, but how it is applied is.
We rely on data to constantly adapt and solve new challenges, focusing on actions that work today with outcomes that generate value for years to come.
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next.
Collaboration is a daily action, working together to turn vision into clear action with lasting impact.

Equal Opportunity

West Monroe is an Equal Employment Opportunity Employer.
We believe in treating each employee and applicant for employment fairly and with dignity.
We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law.
To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion.
If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.