[Remote] Principal AI Product Engineer

Note: The job is a remote job and is open to candidates in USA. Premier Inc. is a company focused on transforming the healthcare industry. They are seeking a Principal AI Product Engineer to design and implement scalable AI capabilities across their product portfolio, working closely with various teams to establish integration patterns and accelerate the delivery of AI-powered features.

Responsibilities

• Turn models, agents, and conversational interfaces into reusable product capabilities that can be embedded across multiple solutions
• Create scalable patterns for: Genie-powered conversational interfaces, RAG and vector search integration, Model orchestration and evaluation
• Ensure AI becomes a consistent, trusted layer across products
• Reduce time-to-production for AI features by: Standardizing infrastructure, Creating shared services and SDKs, Defining guardrails and evaluation frameworks, Enabling faster experimentation without sacrificing governance
• Work deeply in Databricks (Unity Catalog, Delta, Workflows, Model Serving, Genie) to create enterprise-ready AI foundations

Skills

• 10 or more years of applicable experience
• Bachelor's degree required
• 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
• Perks and discounts
• Access to on-site and online exercise classes

Company Overview

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