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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Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.
What You’ll Do:
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction
- Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
- Partner with architects and product leaders to define platform roadmaps and shared services strategy
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in software engineering (Internship experience does not apply)
- At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Preferred Qualifications:
- Master’s Degree in Computer Science or a related field
- 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
- 5+ years of experience contributing to open source frameworks
- 5+ years of experience with front-end JavaScript or TypeScript frameworks
- 5+ years of experience creating synchronous and asynchronous APIs
- 4+ years of experience with database and database management systems
- 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
- 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 4+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience mentoring senior engineers and driving professional development within technical teams
- 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
- 1+ year of experience establishing and enforcing coding standards and design patterns across teams
- 1+ year of experience implementing observability and reliability practices at scale
- Experience leveraging modern AI-based coding tools and IDE copilots
- Experience influencing technology strategy at the portfolio or business unit level
- Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $250,800 - $286,200 for Full-stack Engineer 5
Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
See All 81 AI Platform Engineer Jobs in New York
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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
- Investment & Asset Management
- Fintech
- Artificial Intelligence
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 Mastercard, based on current listings on Migrate Mate as of September 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 Harrison 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 69% of ai platform engineer openings tied to New York are remote or hybrid as of September 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 81 AI Platform Engineer Jobs in New York
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