AI Architect, Google Cloud Platform, Software Engineering
Role details
Job location
Tech stack
Job description
West Monroe is seeking a Senior AI Software Architect - Google Cloud Platform who is first and foremost a hands-on software engineer, with the ability to design and scale modern, AI-driven systems on Google Cloud Platform while interacting with clients.
This role is ideal for someone who actively builds-writing code, shaping systems, and leading by example-while also driving architectural decisions. You will work at the intersection of software engineering, cloud-native development, and applied AI, delivering production-grade solutions that power client transformation., * Lead with Engineering Excellence: Actively contribute to codebases and solution delivery, building scalable, maintainable software systems using modern engineering practices.
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Design AI-Powered Applications: Develop and implement applications leveraging Vertex AI, Gemini, and Agent Engine, with a focus on real-world, production-ready AI solutions.
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Build Cloud-Native Systems on Google Cloud Platform: Design and develop microservices-based applications using GKE, Cloud Run, and serverless architectures, emphasizing reliability and scalability.
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Develop Data & AI Pipelines: Engineer robust pipelines using BigQuery, Dataflow, and Pub/Sub to support high-throughput AI and analytics workloads.
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Implement MLOps in Practice: Build and maintain CI/CD pipelines, model deployment workflows, and monitoring systems using Vertex AI and related tooling.
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Guide Engineering Teams: Provide technical leadership through code reviews, pair programming, and hands-on mentorship, ensuring high engineering standards.
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Client-Facing Engineering Leadership: Collaborate directly with clients to translate requirements into working software solutions, and communicate technical approaches clearly.
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Support Solutioning & Delivery: Partner with internal teams to shape practical, buildable architectures during pre-sales and delivery phases.
Requirements
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Experience:
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7+ years of hands-on software engineering experience
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2+ years building AI/ML-powered applications in production
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2-5+ years developing on Google Cloud Platform (Google Cloud Platform)
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Technical Skills:
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Strong proficiency in Python, Java, C# and other languages including front end.
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Experience building distributed systems and microservices architectures
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Hands-on experience with Vertex AI, BigQuery, GKE, and cloud-native services
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Experience with Terraform or Infrastructure as Code (IaC)
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AI/ML Experience:
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Experience integrating or deploying ML models or GenAI solutions (RAG, agents, APIs) into production systems
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Familiarity with TensorFlow, PyTorch, or similar frameworks
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Certifications (Preferred):
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Google Cloud Professional Cloud Architect, * AI Infrastructure: Efficient use of GPU/TPU resources for scalable systems
Desired Skills
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Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
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Strong understanding of API design, system integration, and event-driven architectures
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Familiarity with secure cloud design (IAM, VPC Service Controls)
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Experience in a consulting or client-facing engineering role
Benefits & conditions
Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.