Principal AI Product Engineer

External

Premierinc · Worldwide

Part-timeRemoteToday

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Responsibilities

Productize AI Capabilities
Turn models, agents, and conversational interfaces into reusable product capabilities that can be embedded across multiple solutions.
Define AI Integration Patterns
Create scalable patterns for:

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

Education:

Education

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

Additional Job Requirements:

Remain in a stationary position for prolonged periods of time

Be adaptive and change priorities quickly; meet deadlines

Attention to detail

Operate computer programs and software

Ability to communicate effectively with audiences in person and in electronic formats .

Day-to-day contact with others (co-workers and/or the public)

Making independent decisions

Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Working Conditions: Remote

Travel Requirements: Travel 1-20% within the US

Physical Demands: Sedentary: Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves remaining stationary most of the

Principal AI Product Engineer

Responsibilities

Requirements

Benefits

Additional Information

Your Match

Company Intel

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