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Job Summary

As an AI Engineer in the Digital Content Science organization, you harness AI technology to deliver scalable enterprise solutions for NetApp's global content ecosystem. You are expected to devise applications of AI capabilities to solve content problems. You collaborate with our DevOps team to design, implement, and test new solutions. You make technical recommendations and develop solutions that help NetApp customers solve their business challenges

We are an AI-forward organization and expect team members to leverage responsible AI to drive measurable outcomes. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in their past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed.

Job Requirements

Knowledge and Technical Skills

+ Proven experience integrating genAI capabilities into business applications, including accessing functions, prompt engineering, token management, and error handling.

+ Proven experience with Retrieval Augmented Generation (RAG) applications, including chat interfaces, evaluation, and optimization.

+ Proven experience in at least one major programming language such as Node.js, Ruby, or Python.

+ Proven experience in data structures, algorithms, and operating on large data sets.

+ Experience with AI connectivity protocols including Model Context Protocol (MCP) and Agent 2 Agent (A2A).

+ Experience with REST APIs and integrating cloud services and platform technologies such as Google Cloud (GCP), Azure, or AWS.

+ Experience with Git, GitHub, and CI/CD toolchains such as GitHub Actions.

+ Experience with Generative AI design principles and integration techniques.

+ Experience with regular expressions and parsing strategies on structured and unstructured data.

+ Experience with test and verification practices and technologies.

+ Familiarity with documentation languages and static site generators such as Jekyll, Gatsby, AsciiDoctor, or Markdown.

Job Requirements

+ Ability to clearly communicate and collaborate across project lifecycle with team members to understand requirements, research and recommend best practices, implement, and be accountable for the verification process.

+ Ability to independently and efficiently learn and demonstrate new skills such as context engineering, programming languages, or technologies through assigned deliverables.

+ Ability to integrate internal technologies to increase automation of the enterprise publishing system (including ingestion of content from diverse sources such as software builds and message repositories), and transformation into other formats for deployment into customer-facing websites.

+ Ability to design and integrate an AI system composed of both structured and unstructured data sources into product interfaces, business applications, or automation processes to intelligently retrieve and generate content at scale.

+ Build and support solutions to automate content quality checking and reporting.

+ Participate in the development and review of business requirements, as well as identify and recommend system solutions to business requirements.

Education

+ Minimum of 3 years of data analysis or data engineering work.

+ Degree in Information Science, Computer Science, Computational Linguistics, or a related field.

Compensation:

The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

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At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family.

We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.

If you want to help us build knowledge and solve big problems, let's talk.