Senior AI/ML Platform Engineer

Job Description

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

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

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.