AIML Platform Engineer

Description -

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.

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 always 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)

• Standups 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 modelshosting 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 improvementsspotting and fixing rough edges proactively

In short:a builder-first role with a strong collaborative and enablement componentsomeone 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 $147050 to $230850 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:

HP offers a comprehensive benefits package for this position including:

• 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 compensation and benefits information is accurate as of the date of this

  posting. The Company reserves the right to modify this information at any time

  with or without notice subject to applicable law.

  Job -

  Software

  Schedule -

  Full time

  Shift -

  No shift premium (United States of America)

  Travel -

  No

  Relocation -

  No

  Equal Opportunity Employer (EEO) -

  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.

  For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal