[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
Company H1B Sponsorship