[Hiring] Principal AI Product Engineer @Premier Inc.

Role Description

You will design and implement scalable AI capabilities across our product portfolio, turning advanced models, agents, and conversational interfaces into reusable components that can be embedded across multiple software solutions. Working closely with product, engineering, and data platform teams, you will establish integration patterns for technologies such as conversational AI, RAG, vector search, and model orchestration while leveraging the Databricks platform to build enterprise-ready AI infrastructure. You will also accelerate the delivery of AI-powered features by standardizing infrastructure, creating shared services, and defining governance, monitoring, and evaluation frameworks that ensure AI systems are reliable, secure, and production-ready.

Qualifications

• 10 or more years of applicable work experience
• Bachelor's degree (Required)

Requirements

• Advanced AI/ML engineering, including large language models (LLMs), RAG architectures, agent frameworks, and conversational AI systems
• Expertise in the Databricks ecosystem (Unity Catalog, Delta Lake, Workflows, Model Serving, Genie)
• Strong backend engineering in Python, including APIs, microservices, and distributed systems design
• Experience building and deploying production AI systems, model serving pipelines, and scalable inference architectures
• Proficiency with vector databases, embeddings, semantic search, and retrieval frameworks
• Full-stack development experience including React, Next.js, TypeScript, and modern frontend frameworks for building AI-driven user interfaces
• Experience designing API-first architectures, REST/GraphQL services, and AI-enabled application layers
• Experience building shared platforms, SDKs, and internal developer tooling
• Strong understanding of cloud-native architectures (AWS, Azure, or GCP)
• Knowledge of data engineering and pipeline patterns, including ETL/ELT workflows and large-scale data processing
• Experience with AI governance, model evaluation, monitoring, and observability frameworks
• Strong understanding of performance, cost, and latency optimization for AI-powered applications
• Ability to collaborate across product, data, engineering, and executive leadership to translate AI capabilities into scalable product solutions
• 8+ years engineering experience, including distributed systems
• Deep experience with Databricks platform architecture
• Hands-on experience implementing Genie
• Experience designing RAG pipelines and model-serving architectures
• Strong backend engineering expertise (Python required)
• Experience designing shared services or internal platforms
• Strong understanding of governance, lineage, model evaluation, and AI reliability
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical field required
• Advanced degree (MS or PhD) in AI, Machine Learning, Data Science, or a related discipline preferred
• Equivalent practical experience building and deploying AI-enabled production systems may be considered in place of formal education
• Ongoing engagement with emerging AI technologies, research, and modern engineering practices strongly preferred

Benefits

• Health, dental, vision, life and disability insurance
• 401k retirement program
• Paid time off
• Participation in Premier’s employee incentive plans
• Tuition reimbursement and professional development opportunities