Principal AI Engineer

Hewlett Packard Enterprise; Wisconsin; Remote; USD 157,000 - 361,000; Full time

Job summary

Hewlett Packard Enterprise seeks a Principal AI Engineer to lead development and deployment of advanced AI models for product and systems, emphasizing scalable architectures and robust data analysis. The role operates remotely, requiring collaboration with data scientists, software engineers, and product managers to deliver measurable AI-driven outcomes.

Candidates should have 8+ years in AI/ML, strong Python/C++ coding, and expertise in ML/DL, NLP, and cloud-based deployment using frameworks

Qualifications

• Bachelor's or higher degree in CS/Engineering/Data Science or closely related field.
• 8+ years of experience in AI/ML roles and related domains.
• Strong knowledge of ML/DL and statistical modeling.

Responsibilities

• Design, develop, and deploy AI models and algorithms for product and system applications.
• Lead architecture decisions for scalable AI systems and cloud-based deployment.
• Mentor junior engineers and drive cross-functional collaboration across teams.
• Translate customer requirements into AI/ML solutions and measurable outcomes.

Skills

Python

Machine Learning

Deep Learning

C++

Data Analysis

Education

Bachelor's or Master’s in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Principal AI Engineer

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

HPE is seeking a senior level AI Engineer to develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. This person will work with large scale computing frameworks, data analysis systems, and modeling environments. Our AI Engineer will use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics. The AI Engineer will contribute to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects. They will also contribute to the visible technical impact on a product or major subcomponent. Along with this, they will apply in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions to improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs is also a top priority. We look to our AI Engineers to recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.

Responsibilities

• Responsible for designing, developing, and deploying advanced machine learning models and algorithms. This includes selecting appropriate techniques, data pre-processing, feature engineering, model training, and evaluation.
• Stays up to date with the latest advancements in the field and leads research initiatives to explore novel approaches and technologies. This involves conducting experiments, evaluating new algorithms, and identifying opportunities for innovation.
• Responsible for designing the architecture of AI systems and ensuring scalability, performance, and reliability. This includes optimizing algorithms, leveraging distributed computing frameworks, and utilizing cloud services to enable efficient and effective AI solutions.
• Works closely with other teams, such as data scientists, software engineers, and product managers.
• You will collaborate to understand requirements, identify opportunities for AI integration, and provide technical guidance throughout the development process.
• Provides technical leadership and mentorship to junior engineers, guiding them in best practices for AI and machine learning.
• Review their work and provide feedback to help them grow and improve their skills.
• Oversees and guides multiple design review sessions across different projects, ensuring consistency in design choices and adherence to best practices.
• Act as a key mentor for the team.
• Partners with the engineering manager and team lead to establish long‐term design and implementation strategies.
• Leads efforts to incorporate feedback loops and continuous improvement processes.
• Leads meetings, ensuring efficient progress tracking, issue resolution, and team coordination.
• Support the engineering manager in setting meeting agendas.
• Creates and delivers high‑level presentations and reports to executive stakeholders, effectively communicating complex technical strategies and their impact on business goals.
• Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.
• May be involved in the design and development of solutions to complex applications problems, system administration issues, or network concerns, where applicable to the role.

Education and Experience Required

• Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
• 8 + years experience in AI and Machine Learning.

Knowledge and Skills

• Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.
• Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks.
• Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit is required.
• Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.) is highly valuable.
• Strong programming skills are necessary for implementing and deploying machine learning models. Proficiency in Python, Java, or C++ is required.
• Ability to write clean, efficient, and maintainable code and have knowledge of software engineering best practices.
• Be skilled in preparing and cleaning data for machine learning tasks, which include data wrangling, feature extraction, dimensionality reduction, handling missing values, and addressing data quality issues.
• A solid understanding of mathematical concepts, such as linear algebra, calculus, probability theory, and statistics, is crucial for effectively designing and evaluating machine learning models.
• Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models. Create meaningful visualizations and effectively communicate complex concepts to technical and non-technical stakeholders.
• Familiarity with software engineering principles, version control systems (e.g., Git), testing methodologies, and agile development practices is valuable. This helps ensure the robustness, scalability, and maintainability of AI systems.
• Stay up to date with the latest advancements in the field, follow research papers, attend conferences, and contribute to the AI community.
• A passion for continuous learning and a drive for innovation are essential traits.
• Experience in leading research initiatives, publishing research papers, or contributing to open‑source projects in AI.
• Experience in guiding and mentoring other engineers.
• Strong communication skills are necessary to collaborate with cross‑functional teams effectively, explain complex AI concepts to non‑technical stakeholders, and provide technical leadership and mentorship to junior engineers.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let’s Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

HPE is an equal employment opportunity provider and has a zero tolerance for discrimination and equal pay for all. We are a non-harassment workplace and are fully committed to attracting, retaining, and cultivating a diverse workforce. We consider all candidates on equal terms and will not discriminate based on age, marital, or other protected statuses. We carefully evaluate all applicants based on skill, experience, and potential.

The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise. They pertain not only to our conduct within the company but also to conduct involving our customers, channel partners, suppliers and competitors.

Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only) HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information.

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Please ensure the resume you submit to us does not contain any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.

Job: Engineering Job Level: TCP_05

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 157,000 - 361,000 in Georgia & Illinois & North Carolina & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered.