AI/ML Platform Engineer: Build & Deploy GenAI Pipelines

HP; Spring (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Generous paid time off

Job summary

HP is seeking a senior builder-focused software/platform engineer to advance internal AI/ML platforms, integrating generative AI capabilities and large language models across HP business units. You will shift between coding, reviews, troubleshooting, and architectural guidance.

The role emphasizes hands-on development, collaboration, and enabling teams to adopt corrective, scalable platform solutions; expect cloud and AI tooling across AWS/Azure, Kubernetes, and SageMaker environments.

Qualifications

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline or commensurate work experience.
• Typically has 7-10 years of work experience, in programming languages, machine learning, algorithms, statistics, or related field.
• AWS Certified Machine Learning Specialty is preferred.

Responsibilities

• Develop internal platform tools and services (Python/FastAPI, CI/CD).
• Manage Terraform and cloud provisioning on AWS and Azure.
• Collaborate through design reviews, onboarding, and architecture discussions.
• Assist productionization of models across SageMaker, Bedrock, Azure ML, and Kubernetes.
• Create and maintain documentation and onboarding guides.

Skills

Agile Methodology

Algorithms

Artificial Intelligence

Automation

Big Data

Data Science

Machine Learning

Python

Java

C++

TensorFlow

PyTorch

Scikit-learn

Natural Language Processing

Microsoft Azure

Amazon Web Services

Education

Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline

Tools

Python

FastAPI

Terraform

AWS

Azure

SageMaker

Bedrock

Kubernetes

Spark

Job description

HP is seeking a senior builder-focused software/platform engineer to advance internal AI/ML platforms, integrating generative AI capabilities and large language models across HP business units. You will shift between coding, reviews, troubleshooting, and architectural guidance.

The role emphasizes hands-on development, collaboration, and enabling teams to adopt corrective, scalable platform solutions; expect cloud and AI tooling across AWS/Azure, Kubernetes, and SageMaker environments.