AI Platform Engineer Jobs
AI Platform Engineer jobs are open across cloud services, financial services, healthcare technology, and enterprise software, from new-grad to principal and staff levels, with specializations in MLOps, LLM infrastructure, and data pipeline architecture. Find a role that fits from the openings below and apply directly.
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Showing 5 of 803+ AI Platform Engineer jobs
Description -
- This role is responsible for overseeing the design, implementation, and maintenance of robust and scalable AI software systems for HP commercial PCs. The role collaborates with cross-functional teams, including AI software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems. The role provides guidance to other team members on developing validation execution plans for new technologies.
Responsibilities
- Focuses on delivering AI related system software for the best customer experience.
- Oversees the installation, configuration, testing and maintenance of operating systems, AI application software, and system management tools.
- Monitors and tests AI application performance for potential bottlenecks, identifies possible solutions, and works with developers to implement those fixes.
- Optimizes software systems for performance, scalability, and resource efficiency to ensure optimal user experience.
- Gathers all the system engineering requirements for the infrastructure components by working with engineering groups and other stakeholders.
- Leads multiple project teams of other software systems engineers responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.
- Manages and expands relationships with internal and outsourced development partners on software systems design and development.
- Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities.
- Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
- Provides guidance and mentoring to less- experienced staff members.
Education & Experience Recommended
- Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in systems engineering, computer programming language, or a related field.
Preferred Certifications
- Certified Software Systems Engineer (CSSE)
- Certified Systems Engineering Professional (CSEP)
Knowledge & Skills
- AI workloads and inferencing
- Agile Methodology
- Application Programming Interface (API)
- C++ (Programming Language)
- Computer Science
- Debugging
- Microservices
- Microsoft Azure
- Python (Programming Language)
- Scalability
- Software Development
- Software Engineering
- SQL (Programming Language)
- Windows 11 internals
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
Relocation -
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 HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
Description -
- This role is responsible for overseeing the design, implementation, and maintenance of robust and scalable AI software systems for HP commercial PCs. The role collaborates with cross-functional teams, including AI software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems. The role provides guidance to other team members on developing validation execution plans for new technologies.
Responsibilities
- Focuses on delivering AI related system software for the best customer experience.
- Oversees the installation, configuration, testing and maintenance of operating systems, AI application software, and system management tools.
- Monitors and tests AI application performance for potential bottlenecks, identifies possible solutions, and works with developers to implement those fixes.
- Optimizes software systems for performance, scalability, and resource efficiency to ensure optimal user experience.
- Gathers all the system engineering requirements for the infrastructure components by working with engineering groups and other stakeholders.
- Leads multiple project teams of other software systems engineers responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.
- Manages and expands relationships with internal and outsourced development partners on software systems design and development.
- Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities.
- Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
- Provides guidance and mentoring to less- experienced staff members.
Education & Experience Recommended
- Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 7-10 years of work experience, preferably in systems engineering, computer programming language, or a related field.
Preferred Certifications
- Certified Software Systems Engineer (CSSE)
- Certified Systems Engineering Professional (CSEP)
Knowledge & Skills
- AI workloads and inferencing
- Agile Methodology
- Application Programming Interface (API)
- C++ (Programming Language)
- Computer Science
- Debugging
- Microservices
- Microsoft Azure
- Python (Programming Language)
- Scalability
- Software Development
- Software Engineering
- SQL (Programming Language)
- Windows 11 internals
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
Relocation -
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 HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
AI Platform Engineer Jobs by Experience Level
Top Cities Hiring AI Platform Engineers
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Find AI Platform Engineer JobsAI Platform Engineer Job Market
Who's Hiring
- JPMorganChase19
- Capital One18
- TikTok14
- GEICO12
- Booz Allen Hamilton12
Top Industries Hiring
- Technology & Software50
- Insurance13
- Banking & Financial Services12
- Consulting & Professional Services11
- Education8
What Employers Look For
The qualifications that appear most often in AI platform engineer jobs.
- Proficiency in Python and at least one infrastructure-as-code tool such as Terraform
- Hands-on experience with Kubernetes, Docker, and container orchestration at scale
- Experience building or maintaining MLOps pipelines using tools like Kubeflow, MLflow, or similar
- Familiarity with major cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with data pipeline frameworks such as Apache Spark, Airflow, or Ray
Tips for Your AI Platform Engineer Job Search
Quantify your model serving infrastructure
Hiring managers for ai platform engineer roles want to see scale, not just tools. Rewrite your resume bullets to show request throughput, latency improvements, or cost reductions you delivered when deploying or maintaining model serving systems.
Distinguish MLOps from platform engineering clearly
Many ai platform engineer postings blur the line between MLOps tooling and core infrastructure work. Read each job description carefully and mirror its language in your application so your background maps to what that specific team actually builds.
Apply early to roles that fit
Migrate Mate lists ai platform engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Build a portfolio around reproducible pipelines
A GitHub repository showing a working feature store, model registry, or CI/CD pipeline for ML models signals practical ability faster than certifications alone. Interviewers for this role consistently probe whether you can design reproducible, observable systems.
Prepare for system design rounds on ML infrastructure
AI platform interviews almost always include a distributed systems or ML infrastructure design round. Practice designing low-latency inference pipelines, batch training orchestration, and data versioning systems out loud so you can communicate tradeoffs clearly under time pressure.
Negotiate scope before you negotiate salary
When you reach the offer stage, clarify whether the role owns the platform roadmap or supports a separate ML engineering team. The distinction shapes your career trajectory, and it gives you a more informed foundation for any compensation conversation that follows.
AI Platform Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most ai platform engineers?
The companies hiring the most ai platform engineers right now include JPMorganChase, Capital One, and TikTok, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at organizations running large-scale model deployment programs across cloud, financial services, and enterprise software.
How many ai platform engineer jobs are remote?
About 71% of ai platform engineer openings are fully remote or hybrid as of November 2026, making it one of the more distributed engineering specializations. Roles focused on MLOps tooling, pipeline automation, and infrastructure-as-code tend to be the most remote-compatible, while positions tied to on-premise GPU clusters or regulated data environments are more likely to require on-site presence.
How do you become an ai platform engineer?
Start by building a strong foundation in software engineering and distributed systems, then layer in cloud infrastructure skills on at least one major provider. Learn containerization with Docker and Kubernetes, then move into ML-specific tooling by deploying a real model using an open-source pipeline framework. Contributing to open-source MLOps projects or maintaining a public portfolio of reproducible pipelines accelerates hiring consideration significantly.
Can you get an ai platform engineer job with little experience?
Entry-level ai platform engineer roles do exist, particularly at companies that treat the position as a specialized infrastructure role rather than a senior-only function. Candidates with strong DevOps or backend engineering backgrounds who have independently built and deployed a machine learning pipeline, even on a personal or open-source project, are competitive for these positions without prior professional ML infrastructure experience.
What does the ai platform engineer interview process look like?
The process typically begins with a recruiter screen focused on your infrastructure background, followed by a technical phone interview covering Python, distributed systems, or cloud architecture. Later rounds usually include a system design interview centered on ML pipeline or model serving architecture, a coding round emphasizing data structures and automation, and a final loop with engineering managers or platform leads assessing cross-functional collaboration.
Where can I find and apply to ai platform engineer jobs?
You can find and apply to ai platform engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Find roles that match your background and apply directly to each listing.
See All 803+ AI Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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