AI & ML Solution Architect — Hybrid (2 Days/Week)

hpe; Spring (TX); Hybrid; USD 137,000 - 315,000; Full time

Job summary

Hewlett Packard Enterprise seeks an experienced AI and ML Solution Architect to design and deliver scalable AI/ML solutions. You will lead model development, validation, and deployment across systems, collaborating with cross-functional teams to align technical and business goals.

The role emphasizes staying current with AI/ML advancements, mentoring juniors, and driving design standards while balancing performance, security, and operational considerations in a hybrid work setting.

Qualifications

• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
• Typically, 7-10 years’ experience.

Responsibilities

• Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms.
• Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions.
• Develops, implements, and optimizes machine learning models and algorithms to improve product performance and data analysis.
• Deploys machine learning models into production environments with scalability and security considerations.
• Monitors model performance and tunes algorithms to maintain accuracy over time.
• Leads design reviews and mentors junior team members to raise the technical bar.

Skills

ML algorithms

Deep learning

Statistics & math

Programming (Python/R/Java)

Software engineering best practices

Communication skills

Leadership/mentoring

Education

Bachelor's or master's degree in CS/Engineering/Data Science/ML/AI

Tools

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Keras

Job description

Hewlett Packard Enterprise seeks an experienced AI and ML Solution Architect to design and deliver scalable AI/ML solutions. You will lead model development, validation, and deployment across systems, collaborating with cross-functional teams to align technical and business goals.

The role emphasizes staying current with AI/ML advancements, mentoring juniors, and driving design standards while balancing performance, security, and operational considerations in a hybrid work setting.