Senior Machine Learning Platform Engineer

Aimlroles; San Mateo (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible work environment

Health and wellness benefits

Paid time off programs

Market-competitive pay

Continual development

Job summary

Guidewire seeks a Senior AI/ML Platform Engineer to architect and scale the ML platform powering data scientists and ML engineers. You will work across data science, MLOps, and product engineering to enable secure, scalable AI workflows in a hybrid environment.

You will lead design discussions, mentor juniors, and drive best practices for reproducibility and governance while ensuring compliance with security and privacy requirements.

Qualifications

• Experience in building large-scale distributed systems and ML platforms.
• Proven track record in MLOps and data-driven product delivery.
• Strong programming skills in Python, Go, or Java.
• Experience with Docker, Kubernetes, and cloud services.

Responsibilities

• Architect and scale an ML platform supporting the full lifecycle.
• Design infrastructure for training, tuning, monitoring, and registry.
• Orchestrate ML workflows with Kubeflow, SageMaker, MLflow.
• Collaborate across teams to enforce reproducibility and CI/CD.
• Lead platform discussions, mentor engineers, set technical vision.
• Ensure security, privacy, and regulatory compliance.

Skills

Distributed systems

MLOps

Python

Go

Java

Docker

Kubernetes

SageMaker

Kubeflow

Cloud platforms

Communication

Leadership

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubeflow

SageMaker

MLflow

Vertex AI

Databricks

Airflow

Argo

Kafka

Terraform

TeamCity

Job description

Summary

Join Guidewire's Product Development & Operations (PDO) team, where we deliver operational excellence and transformative innovation for the world's leading P&C insurance software. Our team is at the forefront of AI, cloud, and data platform adoption, working collaboratively in a hybrid environment to ensure secure, scalable, and efficient solutions. We thrive on curiosity, continuous improvement, and a culture that values diverse perspectives and teamwork. ¹
As a Senior AI/ML Platform Engineer, you will architect and scale the ML platform for data scientists and ML engineers that powers Guidewire's next-generation products. This is a high-impact role for a technical leader passionate about distributed systems, MLOps, and empowering data-driven innovation. You will help shape the future of insurance technology by enabling seamless ML workflows and accelerating the adoption of AI across Guidewire's solutions.

Job Description

High-priority opening - we're moving fast and looking to hire ASAP.

What you'll do

• Architect and guide the design of a scalable, secure ML platform supporting the full ML lifecycle, from data ingestion to model monitoring.

• Design and implement infrastructure for model training, hyperparameter tuning, experiment tracking, and model registry.

• Orchestrate ML workflows using tools such as Kubeflow, SageMaker, MLflow, or similar.

• Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to define best practices for reproducibility, governance, and CI/CD for ML.

• Partner with Data Engineers to build robust data pipelines for model-ready datasets.

• Optimize ML workload performance across compute and storage layers using cloud-native and open-source solutions.

• Lead technical discussions, mentor junior engineers, and help set the technical vision for the ML platform roadmap.

• Ensure compliance with security, privacy, and regulatory requirements throughout the ML lifecycle.

• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI - empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What you'll bring

Required

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 10+ years of software engineering experience, including 5+ years working on ML platforms or infrastructure.

• Expertise in building large-scale distributed systems and microservices.

• Strong programming skills in Python, Go, or Java.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Advanced experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.

• Cloud platform experience (AWS, GCP, or Azure).

• Experience with statistical learning algorithms (GLM, XGBoost, Random Forest) and deep learning (neural networks, transformers).

• Strong communication, leadership, and problem-solving skills.

Preferred

• Experience with real-time model inference and streaming ML pipelines.

• Deep knowledge of model governance, reproducibility, and monitoring.

• Understanding of model performance metrics and drift detection.

• Exposure to feature stores (Feast, Tecton) and workflow tools (Airflow, Argo).

• Familiarity with regulatory considerations (model auditability, interpretability, data privacy laws such as CCPA/GDPR).

• Experience with real-time data pipelines (Kafka, Flink, Spark Structured Streaming).

• Experience using TeamCity and Terraform for infrastructure setup and CI/CD.

• Insurance industry or related experience (banking, finance).

Your Impact

We believe in clarity and setting you up for success. In your first six months, you'll lead the design and implementation of core ML platform components, collaborate with cross-functional teams to deliver scalable solutions, and establish best practices for ML operations. Your work will directly support Guidewire's mission to deliver secure, efficient, and innovative insurance technology, driving measurable value for our customers and accelerating the adoption of AI and cloud capabilities. Over time, your leadership will influence the technical direction of our ML platform and empower teams across the company.

What's in it for you

The people we employ give their all, and in return, we offer flexibility wherever we can, such as:

• Flexible work environment

• Health and wellness benefits

• Paid time off programs, including volunteer time off

• Market-competitive pay and incentive programs

• Continual development and internal career growth opportunities

• A new in-person orientation process for all roles

At Guidewire, you'll help transform the insurance industry, working alongside a collaborative, innovative team committed to customer success and continuous improvement. Your contributions will support our wider mission to deliver measurable value, efficiency, and success