Senior Machine Learning Engineer

Guidewire Software

. Lead the design, implementation, and evolution of Guidewire’s GenAI and LLM products .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $162,000 - $258,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning and Data Science with a focus on building and optimizing LLM solutions and ML pipelines on AWS. Proven ability to lead technical teams, establish MLOps best practices, and ensure production readiness of AI workloads.

Highest-signal resume keywords

Machine Learning ExpertiseAWS Services (S3, EC2, RDS, SageMaker)MLOps Practices (CI/CD, Experiment Tracking)Python ProgrammingGuidewire Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData SciencePrompt EngineeringModel TrainingFine-TuningNeural NetworksTransformer-Based ArchitecturesSQLDockerKubernetes

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

AWS GlueTeamCityTerraformVector DatabasesRAG

Industry Keywords

InsuranceBankingFinancial ServicesP&C Insurance

Tech Stack

Tools & technologies

AWSDockerEC2GuidewireKubernetesPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Lead the design, implementation, and evolution of Guidewire’s GenAI and LLM products
Build data ingestion, feature pipelines, model training, fine-tuning, deployment, and monitoring on AWS
Architect and build ML/LLM pipelines for claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools
Develop and optimize LLM solutions using prompt engineering, RAG, vector databases, and fine-tuning
Collaborate with Product Strategy, PDO, and Professional Services teams on the product roadmap and customer adoption goals
Establish MLOps best practices for CI/CD, experimentation, evaluation, observability, and responsible AI
Ensure models are auditable, secure, and production-ready at scale
Mentor and coach engineers and data scientists
Conduct code and design reviews
Champion performance, reliability, and cost efficiency of AI workloads
Partner with Security, Finance, BizTech, and GTM teams on data governance and security controls
Take ownership of core GenAI platform components and lead rollout of new GenAI use cases

Requirements

What you’ll need

5+ years of professional experience in Machine Learning and/or Data Science, including end-to-end delivery of production ML systems
Deep expertise in Python
Experience building scalable ML/LLM services and pipelines, ideally on AWS using S3, EC2, RDS, and SageMaker
Strong understanding of MLOps practices, including CI/CD for ML, experiment tracking, model registries, and drift detection
Hands-on experience with GLM, Random Forest, and XGBoost models
Deep understanding of neural networks and transformer-based architectures for LLMs and chat models
Familiarity with open-source foundation models, fine-tuning, and inference
Experience with prompt engineering, RAG, related LLM architecture patterns, and vector databases
Knowledge of evaluating and monitoring LLM performance using NLP and LLM-assisted metrics
Demonstrated technical leadership, including design decisions, complex engineering efforts, mentoring, and code and architecture reviews
MUST HAVE GUIDEWIRE EXPERIENCE
Bachelor’s or Master’s Degree in Computer Science, or equivalent practical experience (preferred)
Experience with SQL, Spark, or AWS Glue
Experience with Docker and Kubernetes
Experience creating backend APIs to expose ML/LLM services
Familiarity with CI/CD and infrastructure-as-code tools such as TeamCity and Terraform
Background in insurance, banking, or financial services, or interest in becoming fluent in P&C insurance

Benefits

Comp & perks

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
Health, dental, and vision insurance
Company-sponsored retirement plan
Some roles may be eligible for annual company bonus plan, commissions, and/or long-term incentive awards
In-person orientation process
Disability-related accommodations and support during the hiring process