Data Engineer III, AI Platform

Servco Pacific Inc. is building AI-ready data platforms to support Hawaii Mobility. In this onsite role in Honolulu, HI, you will engineer reusable, governed data pipelines and AI context services on Databricks and Azure, delivering production reliability while mentoring engineers and enabling forward-deployed teams.

What you’ll build and operate

• Reusable ingestion, transformation, orchestration, and serving patterns across batch and streaming workloads on Databricks.
• Connectors, recovery paths, schema evolution, and certified datasets for reporting, applications, and AI use cases.
• Automated reconciliation and data quality controls, including freshness, lineage, and access controls to keep production pipelines and AI context reliable and governed.
• Feature, context, and retrieval pipelines covering document ingestion, metadata, embeddings, and indexes aligned to solution designs with the Data & AI Architect.
• Versioned evaluation data, model and agent monitoring feeds, feedback capture, and identity-aware feature tables, APIs, and event streams.
• Data and platform components of MLOps and LLMOps delivery, including reproducible environments and operational tooling.
• A semantic and ontology layer that informs Servco LLMs and extends data understanding to LLM platforms such as OpenAI and Claude.
• LLM tuning for accuracy and feedback review via the Genie admin console.
• Implementation and maintenance of AI agents in enterprise platforms to automate repetitive work and reduce bottlenecks in solution delivery.

Reliability, performance, and delivery

• Implement 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 based on production learning.

Collaboration and mentorship

• Partner with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operating needs into dependable data products and support agreed 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 to implement AI solutions in line with architecture, implementation, and platform standards.

What you bring

• 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 creating 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.
• A 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 affect data and platform design.

Salary range: USD 93,900 - 142,700 per year.

Location: Honolulu, HI (onsite).

Technologies: Python, SQL, Spark, Databricks, Azure, CI/CD, infrastructure as code, MLflow, Unity Catalog, vector search, event integration, OpenAI, Claude, Genie admin console.