AI Software Developer Jobs in New York
AI Software Developer jobs in New York are among the most active in the country, with strong demand across financial services, media and entertainment, healthcare technology, and enterprise software, at levels from entry-level through principal engineer. Most hiring concentrates in New York City, particularly Manhattan and Brooklyn, with additional volume in Buffalo and Albany. Employers with an established, lasting presence in New York that regularly hire ai software developers include IBM, JPMorgan Chase, and Google. The most in-demand specialties are large language model engineering, ML infrastructure, and applied AI for financial and clinical applications. 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 a Full-Stack Engineer 4 (Manager, IC) who is 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.
The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI.
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 Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 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
- 5+ years of experience coding with Python or Go
- 4+ years of experience with AWS, GCP or Azure
- 3+ years of experience with Kubernetes
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 3+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience with database and database management systems
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- Experience leveraging modern AI-based coding tools and IDE copilots
- 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
- Experience establishing and enforcing coding standards and design patterns across teams
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $197,300 - $225,100 for Full-stack Engineer 4McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
New York, NY: $215,200 - $245,600 for Full-stack Engineer 4
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.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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).
Software Engineer 4 (AI Operations - Manager, IC)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 a Full-Stack Engineer 4 (Manager, IC) who is 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.
The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI.
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 Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 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
- 5+ years of experience coding with Python or Go
- 4+ years of experience with AWS, GCP or Azure
- 3+ years of experience with Kubernetes
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 3+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience with database and database management systems
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- Experience leveraging modern AI-based coding tools and IDE copilots
- 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
- Experience establishing and enforcing coding standards and design patterns across teams
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $197,300 - $225,100 for Full-stack Engineer 4McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
New York, NY: $215,200 - $245,600 for Full-stack Engineer 4
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.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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).
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 a Full-Stack Engineer 4 (Manager, IC) who is 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.
The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI.
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 Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 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
- 5+ years of experience coding with Python or Go
- 4+ years of experience with AWS, GCP or Azure
- 3+ years of experience with Kubernetes
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 3+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience with database and database management systems
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- Experience leveraging modern AI-based coding tools and IDE copilots
- 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
- Experience establishing and enforcing coding standards and design patterns across teams
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $197,300 - $225,100 for Full-stack Engineer 4McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
New York, NY: $215,200 - $245,600 for Full-stack Engineer 4
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.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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).
Software Engineer 4 (AI Operations - Manager, IC)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 a Full-Stack Engineer 4 (Manager, IC) who is 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.
The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI.
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 Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 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
- 5+ years of experience coding with Python or Go
- 4+ years of experience with AWS, GCP or Azure
- 3+ years of experience with Kubernetes
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- 3+ years of experience troubleshooting technical issues within cloud environments
- 3+ years of experience with database and database management systems
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- Experience leveraging modern AI-based coding tools and IDE copilots
- 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
- Experience establishing and enforcing coding standards and design patterns across teams
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
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.
Cambridge, MA: $197,300 - $225,100 for Full-stack Engineer 4McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4
New York, NY: $215,200 - $245,600 for Full-stack Engineer 4
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.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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 138+ AI Software Developer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Software Developer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- JPMorganChase11
- Databricks9
- Meta7
- Google5
- Amazon4
Top Industries Hiring
- Technology & Software17
- Education1
- Science & Research1
- Accounting & Auditing1
- Banking & Financial Services1
What New York Employers Look For
The qualifications that appear most often in AI software developer jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a related technical field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying large language models or generative AI systems
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and scaling
- Experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Strong communication skills for collaborating with cross-functional product and business teams in New York
AI Software Developer Jobs in New York: Frequently Asked Questions
How do you become a ai software developer in New York?
There is no state-issued license required to work as an ai software developer in New York. The standard path is a bachelor's degree in computer science, data science, or a closely related field, followed by hands-on project work or graduate study in machine learning. New York employers expect candidates to demonstrate applied skills through a portfolio, open-source contributions, or relevant internships at New York-based technology, finance, or healthcare firms before hiring at the professional level.
How much do AI software developers make in New York?
AI software developers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai software developers in New York?
Employers hiring ai software developers in New York right now include JPMorganChase, Databricks, and Meta, based on current listings on Migrate Mate as of November 2026. New York's concentration of major financial institutions, media companies, and healthcare networks means ai software developer roles appear across a wider range of industries here than in most other states.
Which New York cities have the most ai software developer jobs?
The cities with the most ai software developer openings in New York are New York, New York City, and Niskayuna. New York City dominates due to its density of financial services firms, large technology offices, and media companies headquartered in Manhattan and Brooklyn, while secondary markets like Buffalo and Albany reflect growth from university research partnerships and state government technology modernization efforts.
Are there remote ai software developer jobs in New York?
Yes, and more than most fields. About 69% of ai software developer openings tied to New York are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being physically on-site. Research, model development, and evaluation tasks are the portions of the role most commonly performed fully remote.
How can I get hired as a ai software developer in New York with little or no experience?
The most realistic entry path is a structured internship or rotational program at a large New York employer. IBM, JPMorgan Chase, and major New York health systems such as NewYork-Presbyterian run early-career technical programs that accept candidates who have completed relevant coursework but lack full-time experience. Lateral moves from data analyst, software engineer, or research assistant roles are also common. A portfolio of personal or academic projects demonstrating model-building and deployment gives candidates a clear edge in New York interviews.
Where can I find and apply to ai software developer jobs in New York?
You can find and apply to ai software developer jobs in New York on Migrate Mate, which lists current openings tied to the New York market. Search the available roles, identify the ones that fit your background and location preference, and apply directly to each position that matches.
See All 138+ AI Software Developer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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