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As a Senior AI/ML Platform Engineer, you will architect and scale the ML platform, ensuring efficient ML workflows and collaborating with various teams to drive AI adoption.

The Site Reliability Engineer will improve the reliability, performance, scalability, and availability of cloud applications. Responsibilities include troubleshooting distributed systems, developing automated runbooks, building monitoring and dashboards, optimizing infrastructure, managing AWS and Kubernetes environments, supporting CI/CD, documenting incidents, and participating in on-call rotations. The role partners with development teams to reduce customer impact and operational toil while implementing SRE practices such as SLIs, SLOs, and error budgets.

Manage regional People Operations across APAC, serving as the first point of contact for employee and manager inquiries. Oversee employee lifecycle processes, payroll readiness, leave, offboarding, benefits, compensation support, compliance, HR data, reporting, and employee experience programs. Partner with People Business Partners and cross-functional teams to improve processes, implement scalable solutions, and support regional and global projects. The role requires strong Workday expertise, labor-law knowledge, discretion, and collaboration across time zones.

Lead full-cycle recruitment and talent strategy for technology and business roles. Partner with senior leaders on workforce planning, hiring forecasts, role calibration, interview design, and data-driven hiring decisions. Build inclusive talent pipelines using advanced sourcing, market mapping, referrals, AI-enabled tools, and competitor research. Improve recruiting efficiency, candidate experience, employer brand, funnel performance, and diversity outcomes while coordinating stakeholders through offers and onboarding.

Lead the design, development, deployment, and operation of production-grade generative AI and LLM solutions. Build data and ML pipelines, fine-tune and evaluate models, implement RAG and prompt engineering, and establish MLOps practices on AWS. Drive use cases across insurance workflows, ensure security and responsible AI compliance, mentor engineers, and collaborate with product, engineering, security, finance, and go-to-market teams.

Configure and integrate Guidewire BillingCenter for P&C insurance customers. Responsibilities include workflows, rules, UI, product models, enterprise integrations, data migration, technical documentation, testing, defect resolution, and Agile delivery. The role collaborates with architects, analysts, developers, QA, and global Professional Services teams to deliver cloud modernization projects and improve implementation quality through automation and responsible AI.

Lead complex Guidewire PolicyCenter design, configuration, development, and integration projects for insurance customers. Provide technical mentorship, conduct code reviews, configure products and data models, develop Gosu and integration solutions, and ensure quality through testing and documentation. Collaborate with clients and cross-functional teams, estimate sprint work, and apply cloud, automation, AI-enabled delivery methods, and reusable accelerators to improve implementation outcomes.

Configure and customize Guidewire InsuranceSuite applications, support data conversion projects, develop mappings and validation processes, execute Data Upload Tool migrations, troubleshoot configuration and data issues, and reconcile migrated data. The role also contributes to technical design, reviews, documentation, Agile delivery, stakeholder communication, and mentoring junior developers across PolicyCenter, ClaimCenter, BillingCenter, and related products.

Creates and maintains technical content for enterprise software platforms, applications, services, and APIs. Designs information architecture, taxonomies, metadata, and AI-ready content structures. Uses analytics, search data, user feedback, and product usage information to identify gaps and improve findability and answer quality. Collaborates with developers, product managers, designers, and subject matter experts in Agile, distributed teams.

Provides 24x7 technical support for Guidewire applications in cloud and on-premise environments. Responsibilities include troubleshooting customer cases, reviewing logs and configurations, performing cloud service operations, coordinating fixes, managing incidents against SLAs, communicating with customers, and creating documentation. The role also identifies recurring issues and contributes to reliability, automation, AI adoption, and continuous service improvement.