Data Engineer III, AI Platform

Servco Pacific Inc. is building an AI-ready data platform for Hawaii Mobility, and this role helps turn that vision into governed, production reliability. As Data Engineer III for the AI Platform, you will design and operate reusable data pipelines and platform services on Databricks and Azure, with a focus on feature, context, evaluation, and monitoring workflows that support predictive and generative AI.

This is an onsite position in Honolulu, HI, with an expected salary range of USD 93,900 - 142,700 per year. The role requires 6+ years of experience and expects a relevant degree or equivalent demonstrated experience.

What you’ll do

• Build and own reusable ingestion, transformation, orchestration, and serving patterns for 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 to keep production pipelines and AI context reliable and governed.
• Engineer feature, context, and retrieval pipelines, including document ingestion, metadata, embeddings, and indexes, aligned to solution designs agreed with the Data & AI Architect.
• Create versioned evaluation data, model and agent monitoring feeds, feedback capture, and identity-aware feature tables, plus supporting 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 expands data understanding for LLM platforms such as OpenAI and Claude.
• Tune Servco’s LLMs for accuracy and review feedback using the Genie admin console.
• Assist with implementation and maintenance of AI agents in enterprise platforms to automate repetitive work and reduce bottlenecks in the solution development lifecycle.
• Implement reproducible environments and delivery practices including 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 using learning from production.
• Collaborate with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operating needs into dependable data products and shared capabilities.
• Mentor newer engineers through code review and pairing, document reusable patterns, and retain critical know-how in Servco-controlled systems.
• Train and support forward deployed team members implementing AI solutions consistent with architecture, implementation, and platform standards.

Requirements

• Relevant degree or equivalent demonstrated 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 experience with AI-ready pipelines for features, retrieval corpora, or evaluation data, including practical MLOps or LLMOps deployment and monitoring.
• Track record of operating reliable data products, resolving incidents, tuning cost and performance, and mentoring engineers.
• Curiosity about unfamiliar systems and the ability to anticipate how changes in business workflows impact data and platform design.

Key technologies

• Python, SQL, Spark, Databricks, Azure
• CI/CD, infrastructure as code
• MLflow, Unity Catalog, vector search
• Event integration, OpenAI, Claude
• Genie admin console

Key outcomes

• Production Pipelines and Frameworks
• AI Enablement Engineering
• Infrastructure and Reliability
• Partnership and Mentorship