Data Engineer III, AI Platform

Servco Pacific; Honolulu (HI); Sur place; USD 94 000 - 143 000; Plein temps

Résumé du poste

Servco Pacific in Hawaii seeks a senior Data Engineer III, AI Platform to build and operate reusable data pipelines and AI-ready platform services for Hawaii Mobility. You will own reliability, mentor engineers, and collaborate across Data Visualization, Analytics & Automation to deliver production-grade data products.

Reporting to the Manager, Data Engineering, you will work with Databricks and Azure to implement MLOps/LLMOps patterns and contribute to semantic/ontology layers that power

Qualifications

• 6–10 years building production data pipelines and platforms.
• Strong Python, SQL, Spark, and Databricks engineering on Azure or comparable cloud.
• Experience building reusable frameworks, automated tests, CI/CD, infrastructure as code, and observable production services.
• Hands-on AI-ready pipelines for features, retrieval corpora, or evaluation data, with practical MLOps or LLMOps deployment and monitoring experience.
• Record of operating reliable data products, resolving incidents, tuning cost and performance, and mentoring engineers.

Responsabilités

• Build and own reusable ingestion, transformation, orchestration, and serving patterns across batch and streaming workloads on Databricks.
• Develop connectors, recovery paths, schema evolution, and certified data sets for reporting, applications, and AI.
• Engineer feature, context, and retrieval pipelines - document ingestion, metadata, embeddings, and indexes - to solution designs agreed with the Data & AI Architect.
• Build versioned evaluation data, model and agent monitoring feeds, feedback capture, and identity-aware feature tables, APIs, and event streams.
• Implement the data and platform components of MLOps and LLMOps delivery.
• Maintain and develop the semantic/ontology layer that informs Servco's LLMs and extends our data understanding to LLM platforms such as OpenAI and Claude.
• Tune Servco's LLMs for accuracy and review feedback via the Genie admin console.
• Assist with the implementation and maintenance of AI agents within our enterprise platforms to automate repetitive work and remove bottlenecks in the solution development lifecycle.
• Implement reproducible environments, infrastructure as code, CI/CD, logging, monitoring, alerting, and runbooks.
• Own reliability, incident response, and recovery for the assets you ship. Improve testing and release practices from production learning.
• Work with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operating needs into dependable data products; support agreed shared capabilities.
• Mentor newer engineers through code review and pairing, document reusable patterns, and retain critical know-how in Servco-controlled systems.
• Training and supporting forward deployed team members in implementing AI solutions in line with architecture, implementation and platform standards.

Connaissances

Python

SQL

Spark

Databricks

Azure

MLOps

LLMOps

Formation

Relevant degree

Outils

MLflow

Unity Catalog

Vector search

Description du poste

The Data Engineer III, AI Platform builds and operates reusable data pipelines and AI-ready platform services for Hawaii Mobility. Reporting to the Manager, Data Engineering, within the Data Visualization, Analytics & Automation function, this role builds, tests, releases, and observes production workloads on Databricks and Azure.

This senior individual contributor engineers governed feature, context, and evaluation pipelines for predictive and generative AI, and implements the data and platform components of MLOps and LLMOps patterns designed with the Data & AI Architect under the Director, Enterprise Architecture. The role owns reliability for the assets it ships and mentors engineers through review and pairing; the function is led by its Director and reports to the VP, Data & AI.

KEY OUTCOMES

Production Pipelines and Frameworks

• Build and own reusable ingestion, transformation, orchestration, and serving patterns across batch and streaming workloads on Databricks. Develop connectors, recovery paths, schema evolution, and certified data sets for reporting, applications, and AI.
• Implement automated reconciliation, data quality, freshness, lineage, and access controls so production pipelines and AI context remain reliable and governed.

AI Enablement Engineering

• Engineer feature, context, and retrieval pipelines - document ingestion, metadata, embeddings, and indexes - to solution designs agreed with the Data & AI Architect.
• Build versioned evaluation data, model and agent monitoring feeds, feedback capture, and identity-aware feature tables, APIs, and event streams. Implement the data and platform components of MLOps and LLMOps delivery.
• Maintain and develop the semantic/ontology layer that informs Servco's LLMs and extends our data understanding to LLM platforms such as OpenAI and Claude.
• Tune Servco's LLMs for accuracy and review feedback via the Genie admin console.
• Assist with the implementation and maintenance of AI agents within our enterprise platforms to automate repetitive work and remove bottlenecks in the solution development lifecycle.

Infrastructure and Reliability

• Implement reproducible environments, infrastructure as code, CI/CD, logging, monitoring, alerting, and runbooks. Tune workload performance and cloud cost within approved architecture and security standards.
• Own reliability, incident response, and recovery for the assets you ship. Improve testing and release practices from production learning.

Partnership and Mentorship

• Work with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operating needs into dependable data products; support agreed shared capabilities.
• Mentor newer engineers through code review and pairing, document reusable patterns, and retain critical know-how in Servco-controlled systems.
• Training and supporting forward deployed team members in implementing AI solutions in line with architecture, implementation and platform standards.

QUALIFICATIONS

Education

Relevant degree or equivalent demonstrated experience.

Work Experience

• 6-10 years building production data pipelines and platforms, with strong Python, SQL, Spark, and Databricks engineering on Azure or a comparable cloud.
• Experience building reusable frameworks, automated tests, CI/CD, infrastructure as code, and observable production services.
• Hands‑on AI-ready pipelines for features, retrieval corpora, or evaluation data, with practical MLOps or LLMOps deployment and monitoring experience.
• Record of operating reliable data products, resolving incidents, tuning cost and performance, and mentoring engineers.

Skills

• Curiosity about unfamiliar systems and an ability to anticipate how changes in business workflows affect data and platform design.
• MLflow or comparable model lifecycle tools, Unity Catalog, vector search, event integration, and automotive or retail operations data. (Preferred)

About Servco

At Servco, we're committed to providing valuable mobility solutions to empower people through the freedom of movement and opportunity. From Australia to California, and of course, Hawaii, Team Servco is a collective of over 2,000 like-minded individuals guided by our four Core Values of Respect, Service, Teamwork, and Innovation. For over 100 years, we have been dedicated to superior service, to both our customers and team members. We look forward to helping you create Life:Moments that matter to you.

Equal Opportunity Employer and Drug-Free Workplace

Pay Range: $93,900.00 - $142,700.00 per year