AI Engineer Jobs in New York
AI Engineer jobs in New York are among the most actively recruited roles in the country, concentrated in finance, media, healthcare technology, and enterprise software across a seniority range from entry-level to principal. Most hiring is centered in Manhattan, Brooklyn, and Jersey City, where companies like JPMorgan Chase, IBM, and Google maintain large engineering operations. The most in-demand specialties are large language model development, MLOps, and applied machine learning for financial and healthcare systems. Find a role that fits below and apply directly.
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Our mission: eliminating every barrier to mental health.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.
Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.
Reporting to the Senior Manager, Engineering, AI Tooling & Enablement, this Staff Software Engineer will lead architecture and technical strategy for AI transformation. You will translate broad product and organizational visions into scalable, modular system architectures, and act as a critical partner to Product, Engineering, and cross-functional leaders to build scalable, future-proof platform capabilities with speed, quality, and precision. This role is part of the AI Transformation & Platform Engineering team and is instrumental in modernizing our technologies through AI-driven capabilities spanning UI, harnesses, models, connectors, and governance accelerating delivery and business impact across the org.
Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.
What you’ll do
Lead hands-on experimentation, evaluation, and production rollout of modern AI capabilities, frameworks, and workflows (LLMs, model gateways, retrieval systems) across the engineering & enterprise platforms
Identify recurring systemic breakdowns in the software development lifecycle and design simpler, faster, higher-quality approaches to raise the bar for code quality, system resilience, and operational health
Take ownership of a team’s architecture—providing system-wide design guidance, decomposing software architecture into discrete components, and ensuring sound tradeoffs across competing dimensions.
Produce architecture that is exemplary in terms of efficiency, stability, extensibility, and the ability to evolve; designs reflect strategic vision, awareness of non-functional requirements, and future product flexibility.
Use AI to explore and validate architectural patterns and decisions; design AI-augmented workflows (e.g., automated code generation, incident analysis) that multiply team output and enable engineers at all levels to work more effectively.
Establish guardrails for safe and responsible AI usage across your team, covering security, compliance, and output correctness.
Drive best practices across the organization; lead initiatives to eliminate tech debt and prepare the codebase for future roadmap requirements.
Critically influence large, cross-team projects—ensuring execution without delay or compromise, and anticipating and removing barriers of all kinds.
Bring critical thinking and drive shared understanding in ambiguous situations; given a clear vision, create a strategy; given a clear strategy, define a sequence of objectives.
Provide a system-wide view to the engineers you work with; share architectural improvements across the tech org to build buy-in and drive broad implementation.
Develop strong working relationships cross-functionally and with business stakeholders; make sound tradeoffs between competing needs across short- and long-term horizons.
Empower engineers to set ambitious goals and turn vision into reality; mentor and develop engineers across the organization, not just your immediate team.
Handle operational escalations reliably; lead high-stakes investigations calmly and communicate progress clearly to stakeholders.
Participate in an on-call rotation; push for better preparation and planning to reduce the frequency and impact of production incidents.
Serve as a trusted technical thought leader across Engineering, Product, Security, IT, and other functional stakeholders—aligning partners early, clarifying tradeoffs, and navigating project dependencies and risks
AI Fluency Expectations
Uses AI to explore and validate architectural patterns and decisions that improve system scalability and reliability, and reduce operational cost
Multiplies team output by enabling others to effectively use AI
Designs and implements AI-augmented workflows (e.g., automated code generation, incident analysis) that materially reduce the amount of time, manual overhead and cost required for teams to ship code
Maintains R&D context for AI best practices and approaches
Actively directs AI strategy and resources to build, ship, or accelerate enterprise initiatives, ensuring material business impact is delivered as defined by their leveling expectations.
Understands AI's strategic implications for software engineering: how AI shifts development velocity, quality expectations, and the skills a high-performing engineering team needs
Familiar with the enterprise AI tooling landscape: what categories of tools exist (coding assistants, test generators, AI ops platforms), how to evaluate them, what governance they require
Understands AI risk at the organizational level: security, compliance, quality, and reputational considerations for enterprise-wide AI use in engineering
Knows what AI-native engineering organizations look like and can articulate where Spring Health stands in that landscape
What success looks like in this role
Architectural Ownership – You are responsible for a team’s architecture. Your designs are exemplary—others reference them as the standard for engineering excellence across the org.
AI-Augmented Engineering – You design workflows and tooling that make AI a force multiplier for your team. You establish guardrails that keep AI usage safe, compliant, and high-quality.
Strategic Clarity – You turn vision into strategy and strategy into objectives. You bring structure and shared understanding to the most ambiguous problems on your team and across the org.
Cross-Org Influence – You drive best practices beyond your immediate team. Engineers and leaders across the organization seek your input on the hardest technical problems.
Engineering Excellence – You lead large-scale initiatives to reduce tech debt, improve architecture, and raise the quality bar. You leave every system better than you found it.
People & Org Health – You empower engineers to do their best work—providing proper context, mentoring across levels, and fostering an inclusive, high-trust culture.
Operational Reliability – You handle escalations reliably and lead high-stakes investigations with calm, clear communication. You drive systemic improvements to reduce future incidents.
What you’ll bring
10+ years of professional software engineering experience
Deep expertise in Python, prompt engineering, developing AI agents, and AWS cloud infrastructure; experience with our tech stack of TypeScript, React and Ruby on Rails is preferred
Proven experience designing and owning Fullstack platform architecture at scale
Uses AI to explore and validate architectural decisions, design AI-augmented engineering workflows, and establish quality and safety guardrails for AI-assisted work across a team
Track record of technical leadership: creating clarity from ambiguity, defining strategy from vision, and driving org-wide architectural improvements
Experience leading and influencing cross-functional teams and stakeholders at multiple levels
Demonstrated ability to mentor and develop engineers across the organization
Adept at covering the breadth of technology while diving deep into architectural complexity and scalability
At least 2+ years of hands-on experience experimenting with, integrating, or architecting modern AI tools, LLMs, model gateways, or retrieval systems into software applications
At least 2+ years leading architectural direction and project teams that span across multiple domains & functions
Bonus: Prior experience building technology within regulated or complex domains (healthcare or adjacent industries preferred)
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
Employer sponsored 401(k) match of up to 2% for retirement planning
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
We offer competitive paid time off policies including vacation, sick leave and company holidays.
At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year.
$200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $208K - $258K
Our mission: eliminating every barrier to mental health.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.
Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.
Reporting to the Senior Manager, Engineering, AI Tooling & Enablement, this Staff Software Engineer will lead architecture and technical strategy for AI transformation. You will translate broad product and organizational visions into scalable, modular system architectures, and act as a critical partner to Product, Engineering, and cross-functional leaders to build scalable, future-proof platform capabilities with speed, quality, and precision. This role is part of the AI Transformation & Platform Engineering team and is instrumental in modernizing our technologies through AI-driven capabilities spanning UI, harnesses, models, connectors, and governance accelerating delivery and business impact across the org.
Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.
What you’ll do
Lead hands-on experimentation, evaluation, and production rollout of modern AI capabilities, frameworks, and workflows (LLMs, model gateways, retrieval systems) across the engineering & enterprise platforms
Identify recurring systemic breakdowns in the software development lifecycle and design simpler, faster, higher-quality approaches to raise the bar for code quality, system resilience, and operational health
Take ownership of a team’s architecture—providing system-wide design guidance, decomposing software architecture into discrete components, and ensuring sound tradeoffs across competing dimensions.
Produce architecture that is exemplary in terms of efficiency, stability, extensibility, and the ability to evolve; designs reflect strategic vision, awareness of non-functional requirements, and future product flexibility.
Use AI to explore and validate architectural patterns and decisions; design AI-augmented workflows (e.g., automated code generation, incident analysis) that multiply team output and enable engineers at all levels to work more effectively.
Establish guardrails for safe and responsible AI usage across your team, covering security, compliance, and output correctness.
Drive best practices across the organization; lead initiatives to eliminate tech debt and prepare the codebase for future roadmap requirements.
Critically influence large, cross-team projects—ensuring execution without delay or compromise, and anticipating and removing barriers of all kinds.
Bring critical thinking and drive shared understanding in ambiguous situations; given a clear vision, create a strategy; given a clear strategy, define a sequence of objectives.
Provide a system-wide view to the engineers you work with; share architectural improvements across the tech org to build buy-in and drive broad implementation.
Develop strong working relationships cross-functionally and with business stakeholders; make sound tradeoffs between competing needs across short- and long-term horizons.
Empower engineers to set ambitious goals and turn vision into reality; mentor and develop engineers across the organization, not just your immediate team.
Handle operational escalations reliably; lead high-stakes investigations calmly and communicate progress clearly to stakeholders.
Participate in an on-call rotation; push for better preparation and planning to reduce the frequency and impact of production incidents.
Serve as a trusted technical thought leader across Engineering, Product, Security, IT, and other functional stakeholders—aligning partners early, clarifying tradeoffs, and navigating project dependencies and risks
AI Fluency Expectations
Uses AI to explore and validate architectural patterns and decisions that improve system scalability and reliability, and reduce operational cost
Multiplies team output by enabling others to effectively use AI
Designs and implements AI-augmented workflows (e.g., automated code generation, incident analysis) that materially reduce the amount of time, manual overhead and cost required for teams to ship code
Maintains R&D context for AI best practices and approaches
Actively directs AI strategy and resources to build, ship, or accelerate enterprise initiatives, ensuring material business impact is delivered as defined by their leveling expectations.
Understands AI's strategic implications for software engineering: how AI shifts development velocity, quality expectations, and the skills a high-performing engineering team needs
Familiar with the enterprise AI tooling landscape: what categories of tools exist (coding assistants, test generators, AI ops platforms), how to evaluate them, what governance they require
Understands AI risk at the organizational level: security, compliance, quality, and reputational considerations for enterprise-wide AI use in engineering
Knows what AI-native engineering organizations look like and can articulate where Spring Health stands in that landscape
What success looks like in this role
Architectural Ownership – You are responsible for a team’s architecture. Your designs are exemplary—others reference them as the standard for engineering excellence across the org.
AI-Augmented Engineering – You design workflows and tooling that make AI a force multiplier for your team. You establish guardrails that keep AI usage safe, compliant, and high-quality.
Strategic Clarity – You turn vision into strategy and strategy into objectives. You bring structure and shared understanding to the most ambiguous problems on your team and across the org.
Cross-Org Influence – You drive best practices beyond your immediate team. Engineers and leaders across the organization seek your input on the hardest technical problems.
Engineering Excellence – You lead large-scale initiatives to reduce tech debt, improve architecture, and raise the quality bar. You leave every system better than you found it.
People & Org Health – You empower engineers to do their best work—providing proper context, mentoring across levels, and fostering an inclusive, high-trust culture.
Operational Reliability – You handle escalations reliably and lead high-stakes investigations with calm, clear communication. You drive systemic improvements to reduce future incidents.
What you’ll bring
10+ years of professional software engineering experience
Deep expertise in Python, prompt engineering, developing AI agents, and AWS cloud infrastructure; experience with our tech stack of TypeScript, React and Ruby on Rails is preferred
Proven experience designing and owning Fullstack platform architecture at scale
Uses AI to explore and validate architectural decisions, design AI-augmented engineering workflows, and establish quality and safety guardrails for AI-assisted work across a team
Track record of technical leadership: creating clarity from ambiguity, defining strategy from vision, and driving org-wide architectural improvements
Experience leading and influencing cross-functional teams and stakeholders at multiple levels
Demonstrated ability to mentor and develop engineers across the organization
Adept at covering the breadth of technology while diving deep into architectural complexity and scalability
At least 2+ years of hands-on experience experimenting with, integrating, or architecting modern AI tools, LLMs, model gateways, or retrieval systems into software applications
At least 2+ years leading architectural direction and project teams that span across multiple domains & functions
Bonus: Prior experience building technology within regulated or complex domains (healthcare or adjacent industries preferred)
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
Employer sponsored 401(k) match of up to 2% for retirement planning
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
We offer competitive paid time off policies including vacation, sick leave and company holidays.
At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year.
$200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $208K - $258K
See All 326+ AI Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Capital One23
- Google9
- JPMorganChase9
- Meta8
- deCircle6
Top Industries Hiring
- Technology & Software21
- Science & Research6
- Investment & Asset Management4
- Healthcare & Medical Services3
- Retail1
What New York Employers Look For
The qualifications that appear most often in AI engineer jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or JAX
- Experience with cloud infrastructure on AWS, Google Cloud, or Azure for model serving
- Familiarity with MLOps practices including experiment tracking, model versioning, and CI/CD pipelines
- Strong understanding of data engineering fundamentals including feature stores and data pipelines
AI Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai engineer in New York?
Most ai engineer roles in New York do not require a state-issued license, so the path runs through education and demonstrated technical skill. A bachelor's degree in computer science, data science, or a closely related field is the standard minimum, with a master's degree increasingly expected at larger New York employers in finance and enterprise tech. Building a portfolio of deployed ML projects and contributing to open-source work strengthens applications considerably in New York's competitive market.
Which companies hire ai engineers in New York?
Employers hiring ai engineers in New York right now include Capital One, Google, and JPMorganChase, 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 demand is spread across industries rather than limited to dedicated tech firms.
Which New York cities have the most ai engineer jobs?
New York, Brooklyn, and New York State have the most ai engineer openings in New York. Manhattan drives the largest share of listings through its dense cluster of financial services firms, large tech company offices, and enterprise software companies, while Brooklyn's growing tech scene and Jersey City's proximity to Wall Street back-office operations account for strong secondary concentrations.
Are there remote ai engineer jobs in New York?
Yes, and more than most fields. About 79% of ai engineer openings tied to New York are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. Model research, experimentation, and data pipeline development are the areas most commonly offered on a fully remote basis, while roles involving close collaboration with trading desks or clinical teams tend to require on-site presence.
How can I get hired as a ai engineer in New York with little or no experience?
The most realistic entry path is a machine learning or data engineering associate role at a large New York employer, which often serves as a feeder position into dedicated AI engineering work. Companies like IBM and JPMorgan Chase run structured new-graduate programs in New York that accept candidates without professional experience. Building a project portfolio on publicly available datasets and completing recognized certifications in cloud ML services gives early-career candidates a clear edge in New York interviews.
Where can I find and apply to ai engineer jobs in New York?
You can find and apply to ai engineer jobs in New York on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, find the ones that fit your experience and specialization, and apply directly to each position.
See All 326+ AI 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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