Description -

We are looking for a highly capable engineer who is excited to build the data and AI foundations behind the next generation of intelligent products and industrial this role you will help shape scalable data platforms production-grade software components and AI-ready systems that enable better decisions smarter operations and meaningful innovation in additive manufacturing.

This is an opportunity to work at the intersection of software engineering data engineering and applied AI with real ownership and visible business impact. You will contribute to systems that must be reliable secure scalable and built to support advanced analytics machine learning and LLM-enabled use cases. We are looking for someone who combines strong engineering discipline with curiosity product thinking and a drive to turn modern data and AI capabilities into practical value.

Responsibilities

AI & Data Engineering

- Design and build scalable data pipelines data models and data services that power analytics machine learning and AI applications in production.

- Raise the quality and trustworthiness of data through automated validation monitoring lineage and observability practices.

- Prepare and optimize structured and unstructured datasets for advanced analytics ML and LLM-enabled use cases.

- Partner with product analytics and business stakeholders to deliver data products and intelligent workflows with measurable operational impact.

Applied AI & Intelligent Solutions

- Help turn AI opportunities into deployable solutions by building AI-ready datasets reusable data assets and robust data preparation workflows.

- Contribute to ML and LLM use cases by enabling traceability versioning metadata management and governance across the data lifecycle.

- Apply modern engineering practices and AI-assisted development tools to improve delivery speed solution quality and team productivity.

Software Engineering & Platform Development

- Design develop and maintain production-grade software applications services and APIs using secure scalable and maintainable engineering practices.

- Build and operate platform components that make data and AI solutions easier to deploy integrate and use across the organization.

- Review code solve performance and reliability issues and continuously improve system resilience scalability and maintainability.

- Collaborate closely with engineering DevOps QA analytics and business teams to deliver and support high-quality production solutions.

Education & Experience

- Bachelors or Masters degree in Computer Science Software Engineering Data Engineering or a related technical field.

- 47 years of experience in software engineering data engineering or closely related technical roles with a strong track record of delivering production systems.

Knowledge & Skills

- Programming: Python Java Go JavaScript/TypeScript SQL

- Cloud & Data Platforms: Azure AWS or GCP; modern data platform and storage concepts

- Software Engineering: APIs microservices Docker Kubernetes and scalable platform design

- Data Engineering: ETL/ELT pipelines data modeling orchestration data quality and big data processing

- AI & Analytics: familiarity with ML workflows LLM-enabled use cases AI-ready data preparation and data governance principles

- Methodologies: Agile DevOps CI/CD testing and continuous improvement mindset

- Domain knowledge in additive manufacturing will be valued

Soft Skills

- Strong communication skills and the ability to work effectively across technical and non-technical teams

- Analytical problem-solving skills with a practical engineering-first approach to complex challenges

- Curiosity adaptability and a continuous learning mindset in a fast-evolving technology landscape

What we offer

Sales & Services Entity

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal