Data Engineer III, AI Platform

Servco Pacific Inc. is seeking a Data Engineer III for its AI Platform in Honolulu, supporting Hawaii Mobility. The role focuses on building reusable data pipelines and governed AI-ready platform services on Databricks and Azure, with ownership of reliability for production assets and mentoring for engineering practices.

Core Responsibilities

• 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 datasets for reporting, applications, and AI use cases.
• 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 and monitoring feeds for models and agents, including feedback capture, identity-aware feature tables, APIs, and event streams.
• Implement data and platform components of MLOps and LLMOps delivery.
• Maintain and develop a semantic or ontology layer that supports Servco’s LLMs and extends data understanding to LLM platforms such as OpenAI and Claude.
• Tune Servco’s LLMs for accuracy and review feedback using the Genie admin console.
• Assist with implementing and maintaining AI agents within enterprise platforms to automate repetitive work and reduce solution development bottlenecks.
• Implement reproducible environments and support 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 delivered.
• Improve testing and release practices using lessons learned from production.
• Collaborate with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operational needs into dependable data products and shared capabilities.
• Mentor newer engineers through code review and pairing, document reusable patterns, and help retain critical know-how in Servco-controlled systems.
• Train and support forward deployed team members in implementing AI solutions consistent with architecture, implementation, and platform standards.

Required Qualifications

• 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.
• Proven ability to operate reliable data products, resolve incidents, tune cost and performance, and mentor engineers.
• Curiosity about unfamiliar systems and the ability to anticipate how changes in business workflows affect data and platform design.

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

Compensation and Location

Location: Honolulu, HI (onsite)

Base Salary: USD 93,900 - 142,700 per year

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