Data Engineer III, AI Platform

Posted 4 Days Ago
Honolulu, HI, USA
In-Office
94K-143K Annually
Senior level
Automotive • Retail
The Role
Builds and operates reliable, governed data pipelines and AI platform services on Databricks and Azure. Responsibilities include batch and streaming ingestion, transformation, orchestration, feature and retrieval pipelines, evaluation data, model and agent monitoring, MLOps and LLMOps infrastructure, CI/CD, infrastructure as code, observability, incident response, and cost optimization. The role also mentors engineers, supports AI agent implementations, maintains semantic layers, and partners with architecture and analytics teams to deliver dependable data products.
Summary Generated by Built In

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.


Interested?

Visit www.servco.com/careers to apply online or email us at [email protected].


Equal Opportunity Employer and Drug-Free Workplace

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

Skills Required

  • Relevant degree or equivalent demonstrated experience
  • 6-10 years building production data pipelines and platforms
  • Strong Python, SQL, Spark, and Databricks engineering experience on Azure or a comparable cloud
  • Experience building reusable frameworks, automated tests, CI/CD, infrastructure as code, and observable production services
  • Hands-on experience building AI-ready pipelines for features, retrieval corpora, or evaluation data
  • Practical MLOps or LLMOps deployment and monitoring experience
  • Experience operating reliable data products, resolving incidents, tuning cost and performance, and mentoring engineers
  • Curiosity about unfamiliar systems and ability to anticipate how business workflow changes affect data and platform design
  • Experience with MLflow or comparable model lifecycle tools, Unity Catalog, vector search, event integration, and automotive or retail operations data
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The Company
HQ: Honolulu, HI
2,058 Employees
Year Founded: 1919

What We Do

Servco Pacific Inc. is a Hawaiʻi-based, family-owned company founded in 1919. Its main businesses span automotive distribution and retail, including Toyota, Lexus, and Subaru distributorships in Hawaiʻi, more than 30 retail dealerships in Hawaiʻi and Australia, and Hui Car Share and other mobility initiatives. Servco also operates in musical instruments and e-learning, while its broader portfolio includes commercial product distribution and related services.

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