Senior AI Architect, GCP, Software Engineering, US
Confirmed live in the last 24 hours
West Monroe
Job Description
Are you ready to make an impact?
Senior AI Software Architect – GCP
About West Monroe
West Monroe is a digital services firm where strategy meets execution. We partner with organizations to deliver measurable business impact through technology, combining deep engineering expertise with industry knowledge. Our teams take a product and engineering-led approach to solving complex challenges across cloud, data, and AI.
Position Summary
West Monroe is seeking a Senior AI Software Architect – GCP 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.
This is a client-facing role that may require travel up to 30%.
Key Responsibilities
- Lead with Engineering Excellence:
Actively contribute to codebases and solution delivery, building scalable, maintainable software systems using modern engineering practices.
- 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.
- Build Cloud-Native Systems on GCP:
Design and develop microservices-based applications using GKE, Cloud Run, and serverless architectures, emphasizing reliability and scalability.
- Develop Data & AI Pipelines:
Engineer robust pipelines using BigQuery, Dataflow, and Pub/Sub to support high-throughput AI and analytics workloads.
- Implement MLOps in Practice:
Build and maintain CI/CD pipelines, model deployment workflows, and monitoring systems using Vertex AI and related tooling.
- Guide Engineering Teams:
Provide technical leadership through code reviews, pair programming, and hands-on mentorship, ensuring high engineering standards.
- Client-Facing Engineering Leadership:
Collaborate directly with clients to translate requirements into working software solutions, and communicate technical approaches clearly.
- Support Solutioning & Delivery:
Partner with internal teams to shape practical, buildable architectures during pre-sales and delivery phases.
Required Qualifications
- Experience:
- 7+ years of hands-on software engineering experience
- 2+ years building AI/ML-powered applications in production
- 2–5+ years developing on Google Cloud Platform (GCP)
- Technical Skills:
- Strong proficiency in Python, Java, C# and other languages including front end.
- Experience building distributed systems and microservices architectures
- Hands-on experience with Vertex AI, BigQuery, GKE, and cloud-native services
- Experience with Terraform or Infrastructure as Code (IaC) pythonjavagogcpaidataanalyticsproductdesignsales