Data & AI Engineer

Requisition ID: 276434 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The Data and AI Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards, and leads complex delivery from discovery through production using Databricks/Lakehouse, GKE, cloud-native services, and governed Generative AI patterns.  

Is this role right for you? In this role you will: 

• Own end-to-end solution design, architecture trade-offs, non-functional requirements, and implementation patterns for complex AI, data, and software products. 

• Provide technical expertise across engineers and workstreams; define roadmaps, sequence delivery, and resolve high-impact blockers and dependencies. 

• Lead secure cloud-native application design on GKE, including containerized services, APIs, stateless patterns, autoscaling, resilience, and service integration. 

• Design governed Generative AI and agentic solutions using LLMs, RAG, embeddings/vector search, memory, orchestration, guardrails, policy controls, evaluation, and human-in-the-loop patterns. 

• Lead integration with enterprise AI gateways and model-access services; assess migration impacts and recommend options that minimize rework and operational risk. 

• Architect scalable data products and pipelines using Databricks, Spark/PySpark, Delta/Lakehouse, and Medallion patterns across Bronze, Silver, and Gold layers. 

• Establish standards for Python, SQL, APIs, testing, code review, CI/CD, observability, documentation, and reusable components. 

• Own production readiness, including performance, capacity, availability, security, vulnerability remediation, deployment controls, rollback, monitoring, and incident response. 

• Drive AI/ML governance through evaluation criteria, ground-truth datasets, response and override logging, traceability, auditability, and business validation. 

• Partner with Architecture, Data Platform, Security, AI Risk, and business stakeholders to secure alignment, communicate risk, and influence target-state decisions. 

• Mentor engineers through design reviews, code reviews, and technical coaching, reducing dependency on individual contributors and raising team capability. 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: