AI Platform Engineer Jobs in New York
AI Platform Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare technology, and enterprise software, with demand at every level from entry-level ML infrastructure roles through principal engineers. Most hiring is centered in New York City, with additional activity in Albany and Buffalo, and employers like JPMorgan Chase, IBM, and Verizon maintain lasting, significant engineering footprints across the state. The most in-demand specialties are LLM infrastructure, MLOps pipeline development, and cloud-native AI deployment on platforms like AWS and Azure. Find a role that fits below and apply directly.
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Showing 5 of 83+ AI Platform Engineer jobs
DESCRIPTION
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
- Optimize existing algorithms and systems for performance, scalability, and reliability
- Contribute to the full software development lifecycle, from conception to production deployment
- Mentor junior engineers and promote best practices in software development and AI implementation
A day in the life
- Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
- Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
- Growth: Learn from experts while working with the latest in AI technology
- Purpose: Help shape responsible AI development practices and sustainable computing
- Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
DESCRIPTION
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.
- Build and own critical infrastructure powering Amazon's next-generation AI capabilities
- Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems
- Optimize existing algorithms and systems for performance, scalability, and reliability
- Contribute to the full software development lifecycle, from conception to production deployment
- Mentor junior engineers and promote best practices in software development and AI implementation
A day in the life
- Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon
- Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering
- Growth: Learn from experts while working with the latest in AI technology
- Purpose: Help shape responsible AI development practices and sustainable computing
- Team: Join a collaborative environment focused on solving complex, meaningful challenges
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
See All 83 AI Platform Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Platform Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Artificial Intelligence
- Fintech
- Education
What New York Employers Look For
The qualifications that appear most often in AI platform engineer jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a closely related field
- Hands-on experience building and maintaining ML or AI infrastructure in production environments
- Proficiency with cloud platforms such as AWS, Google Cloud, or Azure for AI workloads
- Experience with MLOps tooling including Kubeflow, MLflow, or similar orchestration frameworks
- Strong programming skills in Python, with familiarity in Go or Java considered a plus
- Experience with containerization and orchestration technologies including Docker and Kubernetes
AI Platform Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai platform engineer in New York?
There is no state-issued license required to work as an ai platform engineer in New York. The standard path is a bachelor's degree in computer science, software engineering, or a related field, followed by hands-on experience in cloud infrastructure or machine learning systems. New York employers, particularly in finance and enterprise technology, place strong weight on demonstrated production experience, relevant cloud certifications from AWS or Google, and a portfolio of ML infrastructure projects.
How much do AI platform engineers make in New York?
AI platform engineers in New York earn a median of about $116,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,740 for the lowest 10% to over $203,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in New York?
Employers hiring ai platform engineers in New York right now include JPMorganChase, Capital One, and GEICO, based on current listings on Migrate Mate as of November 2026. New York's concentration of financial services firms, large media companies, and enterprise technology organizations makes it one of the most consistent states for ai platform engineering roles year-round.
Which New York cities have the most ai platform engineer jobs?
New York, New York City, and Hempstead have the most ai platform engineer openings in New York. New York City dominates the distribution because of its density of financial institutions, global tech offices, and media companies that run large-scale AI infrastructure, while cities like Albany and Buffalo contribute openings driven by state government technology initiatives and regional healthcare systems investing in AI.
Are there remote ai platform engineer jobs in New York?
Yes, and more than most fields. AI platform engineering is primarily a desk-based, systems-focused discipline, which makes remote and hybrid arrangements common. About 66% of ai platform engineer openings tied to New York are remote or hybrid as of November 2026, reflecting broad employer acceptance of distributed infrastructure teams. Roles focused on cloud architecture, MLOps pipeline development, and model deployment tooling tend to be the most remote-friendly.
How can I get hired as a ai platform engineer in New York with little or no experience?
The most realistic entry path is securing a junior infrastructure or ML engineering role at a New York technology company or financial institution that runs a structured new-graduate program, such as the engineering rotational programs at firms like IBM or large financial services employers in New York City. Building a demonstrable portfolio of cloud and MLOps projects, earning an AWS or Google Cloud certification, and targeting roles titled junior platform engineer, associate ML engineer, or infrastructure engineer can all open the door without prior production experience.
Where can I find and apply to ai platform engineer jobs in New York?
You can find and apply to ai platform engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and location, and apply directly to each position.
See All 83 AI Platform Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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