HPE
AI and ML Solution Architect
$141K–$325K
Spring, Texas, United States of America · Full-time · Posted Oct 21, 2026
- Experience
- Typically 7–10 years’ experience.
- Education
- Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
About the job
Architects, develops, deploys, and improves machine-learning solutions for HPE products and customer needs, while providing technical leadership and mentoring.
What you'll do
- Design, build, deploy, and optimize machine-learning models and systems, integrating models with existing software and infrastructure.
- Monitor deployed models, analyze performance metrics, and improve model accuracy and system performance.
- Lead design reviews, set implementation standards, mentor team members, and communicate recommendations to senior stakeholders.
What they ask for
- Bachelor's or master’s degree in a relevant quantitative discipline.
- Proficiency in Python, R, or Java and experience writing production-level code using software engineering best practices.
- Strong knowledge of machine-learning algorithms, deep learning, mathematics, and statistics.
- Experience with machine-learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit.
Nice to have
- Knowledge of Keras.
- Deep understanding of statistical modeling, data mining, and data visualization.
Pay
USD 141,000 - 325,000 annual base salary (Texas, United States of America)
Tools
Python, R, Java, Git, TensorFlow, PyTorch, sci-kit, Keras
AI focus
Researches, architects, develops, deploys, and monitors machine-learning and deep-learning solutions, including data mining, modeling, and natural language processing.
Model-written summary · the original posting is authoritative