AI/ML Platform Engineer

Jobtailor; Spring (TX); On-site; USD 147,050 - 230,850; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Parental leave

Job summary

HP, Inc. is seeking an AI/ML Platform Engineer to advance our centralized platform for Generative AI and large language models. You will build internal tools, manage cloud infra, and collaborate across teams to enable rapid model deployment and scalable AI workflows.

The role blends hands-on coding with architecture work, automation, and staff enablement, requiring 7–10 years of related experience and strong Python/ML fundamentals.

Qualifications

• Bachelor’s or graduate degree in CS, stats, math, data science, or related field.
• 7–10 years of work experience in programming/ML fields.
• Experience with Generative AI and LLMs is preferred.
• Strong Python and SQL skills and software engineering fundamentals.
• Experience deploying models with AWS/SageMaker, Azure ML, or similar.
• Familiarity with Terraform and cloud infrastructure tooling.
• Ability to translate ambiguous requirements into practical plans.

Responsibilities

• Build internal platform tools, self-service portals, and backend APIs (Python/FastAPI).
• Handle cloud infra and troubleshooting across AWS and Azure using Terraform.
• Collaborate in stand-ups, architecture reviews, and design discussions; review code and onboard teams.
• Support model deployment, scaling, and cost optimization for SageMaker, Bedrock, and Kubernetes.
• Create docs and onboarding guides; continually improve the platform.

Skills

Python

Machine Learning

Cloud platforms

AWS

Azure

Kubernetes

CI/CD

Deep Learning

SageMaker

Bedrock

Terraform

FastAPI

C++

Education

Bachelor’s or graduate degree in CS/Stats/Math or related field

Tools

Terraform

FastAPI

SageMaker

Bedrock

Kubernetes

PyTorch

TensorFlow

Spark

Job description

AI/ML Platform Engineer

We are a dynamic centralized platform team dedicated to harnessing cutting‑edge AI/ML technology, particularly in the realm of Generative AI and large language models, to empower HP and drive innovation. Collaborating closely with various business units, we provide strategic advice, prototype solutions, and develop and manage software applications tailored for internal use.

Responsibilities

Days split roughly evenly between hands‑on building and collaboration/enablement, driven by a mix of roadmap work and incoming requests. Expect to shift context often.

• Building (largest share of the day): internal platform tools and services—self‑service portals/workbenches, backend APIs (Python/FastAPI), automations and CI/CD tooling, MCP/gateway integrations and AI‑enabled automations and flows; focus is on reducing friction for teams adopting the platform.
• Cloud infrastructure & troubleshooting (weekly): writing and maintaining Terraform; provisioning and configuring platform resources across AWS and Azure, diagnosing deployment, networking, endpoint, and configuration issues; enough depth to reason about deployments and partner with security/networking specialists.
• Collaboration & enablement (about half the day): stand‑ups, syncs, and planning/project meetings; design and architecture reviews; regular PR and code review; onboarding new teams; translating ambiguous requirements into practical plans and challenging weak designs.
• Model deployment support (recurring): helping teams productionize models‑hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.
• Docs & platform improvement (ongoing): documentation, onboarding guides, and reference examples; ad‑hoc process and platform improvements—spotting and fixing rough edges proactively.

In short: a builder‑first role with a strong collaborative and enablement component—someone who moves fluidly between writing code, reviewing work, troubleshooting infrastructure, and guiding architectural decisions.

Education & Experience Recommended

Four‑year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Certifications

• AWS Certified Machine Learning Specialty

Knowledge & Skills

• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit‑learn (Machine Learning Library)
• Software Engineering
• TensorFlow

Cross‑Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Pay & Benefits

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, additional flexible paid vacation and sick leave
• US benefits overview https://hpbenefits.ce.alight.com/

Job Details

• Software – Schedule: Full time
• Shift: No shift premium (United States of America)
• Travel: No
• Relocation: No

Equal Opportunity Employer

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.