Applied AI Engineer Jobs in New York
Applied AI Engineer jobs in New York are among the most actively recruited technology roles in the country, concentrated in financial services, media and advertising technology, healthcare AI, and enterprise software across experience levels from associate to principal. Most hiring is in New York City, with secondary clusters in Albany and Buffalo tied to state government tech initiatives and university research commercialization. Major employers with a lasting presence in the region include JPMorgan Chase, IBM, and Google. The most in-demand specialties are large language model deployment, MLOps infrastructure, and production AI systems integration. Find a role that fits below and apply directly.
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Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
This role may also be located in our Playa Vista, CA campus.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in management consulting, corporate strategy, go-to-market strategy, sales operations, marketing, finance, or program/project management at a technology or media company.
- Experience with core business operations (e.g., annual business planning, headcount management, running business reviews, or target setting).
- Experience working with executive-level clients or stakeholders.
- Experience in sales operations, planning, and processes (e.g., forecasting, sales compensation, contracting).
- Experience with Go-To-Market (GTM) strategies.
Preferred qualifications:
- Excellent team-work and communication skills to synthesize complex findings into simple, compelling strategic narratives for executive audiences.
- Proven ability to structure complex, multi-variable issues, identify operational inefficiencies, and build innovative processes that prevent future roadblocks.
- Impeccable business judgment to confidently navigate senior-leader pushback, maintain composure, and drive consensus in ambiguous situations.
- Successful track record operating within globally scaled product sales, engineering, or sales technology environments.
- Strong empathy for internal sellers, proposing innovative approaches while clearly outlining risks and trade-offs.
About the job
The Product Operations team sits within the Global Business Applied AI (GBAI) team, and is responsible for leading sales tools strategy across business operations, governance, legal compliance, sales enablement, and measurement and analytics. GBAI resides within the Go to Market Operations (GTM) team and enables Google’s Business Organization (GBO) to drive customer success.
You will be operating under extreme uncertainty, efficiently structuring highly ambiguous, complex problems, and generating clear, actionable insights. You will demonstrate strong decision-making leadership, a bias for action, and the ability to build trusted cross-functional partnerships across global product leads, engineering, product management, legal, compliance, and finance.
The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead and drive complex, cross-functional strategic initiatives and processes end-to-end with limited guidance, managing project scoping, planning, priorities, and milestones.
- Deconstruct highly ambiguous situations and solve complex problems that have multiple potential solutions, drawing on a wide toolkit to deliver clear insights and optimal, data-driven recommendations.
- Build and influence a broad network of relationships across the product area, including Director-level stakeholders, to align resources, build consensus on complex issues, and drive change management.
- Design reporting frameworks and analyze operational data to surface actionable insights, track progress against business objectives, and empower executive decision-making.
- Serve as a subject matter expert with a thorough understanding of the business area. Develop others by sharing expertise, teaching deep systems/product knowledge, and providing support/direction across adjacent workstreams.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
This role may also be located in our Playa Vista, CA campus.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience in management consulting, corporate strategy, go-to-market strategy, sales operations, marketing, finance, or program/project management at a technology or media company.
- Experience with core business operations (e.g., annual business planning, headcount management, running business reviews, or target setting).
- Experience working with executive-level clients or stakeholders.
- Experience in sales operations, planning, and processes (e.g., forecasting, sales compensation, contracting).
- Experience with Go-To-Market (GTM) strategies.
Preferred qualifications:
- Excellent team-work and communication skills to synthesize complex findings into simple, compelling strategic narratives for executive audiences.
- Proven ability to structure complex, multi-variable issues, identify operational inefficiencies, and build innovative processes that prevent future roadblocks.
- Impeccable business judgment to confidently navigate senior-leader pushback, maintain composure, and drive consensus in ambiguous situations.
- Successful track record operating within globally scaled product sales, engineering, or sales technology environments.
- Strong empathy for internal sellers, proposing innovative approaches while clearly outlining risks and trade-offs.
About the job
The Product Operations team sits within the Global Business Applied AI (GBAI) team, and is responsible for leading sales tools strategy across business operations, governance, legal compliance, sales enablement, and measurement and analytics. GBAI resides within the Go to Market Operations (GTM) team and enables Google’s Business Organization (GBO) to drive customer success.
You will be operating under extreme uncertainty, efficiently structuring highly ambiguous, complex problems, and generating clear, actionable insights. You will demonstrate strong decision-making leadership, a bias for action, and the ability to build trusted cross-functional partnerships across global product leads, engineering, product management, legal, compliance, and finance.
The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead and drive complex, cross-functional strategic initiatives and processes end-to-end with limited guidance, managing project scoping, planning, priorities, and milestones.
- Deconstruct highly ambiguous situations and solve complex problems that have multiple potential solutions, drawing on a wide toolkit to deliver clear insights and optimal, data-driven recommendations.
- Build and influence a broad network of relationships across the product area, including Director-level stakeholders, to align resources, build consensus on complex issues, and drive change management.
- Design reporting frameworks and analyze operational data to surface actionable insights, track progress against business objectives, and empower executive decision-making.
- Serve as a subject matter expert with a thorough understanding of the business area. Develop others by sharing expertise, teaching deep systems/product knowledge, and providing support/direction across adjacent workstreams.
See All 113+ Applied AI Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Applied AI 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 & Software15
- Science & Research5
- Fintech1
- Insurance1
- Food & Beverage1
What New York Employers Look For
The qualifications that appear most often in applied AI engineer jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency building and deploying production machine learning models at scale
- Hands-on experience with Python, PyTorch, TensorFlow, or comparable ML frameworks
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model serving
- Experience integrating large language models or generative AI into enterprise applications
- Strong collaboration skills working with product and data engineering teams on New York projects
Applied AI Engineer Jobs in New York: Frequently Asked Questions
How do you become a applied ai engineer in New York?
Applied AI engineering in New York has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most roles require at least a bachelor's degree in computer science, data science, or a closely related field, and a significant share of New York employers prefer candidates with a master's. Building a portfolio of deployed projects, contributing to open-source ML work, and completing recognized certifications in cloud AI services strengthens candidacy for competitive New York openings.
How much do applied AI engineers make in New York?
Applied AI engineers 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 applied ai engineers in New York?
Employers hiring applied ai engineers in New York right now include Anthropic, Capital One, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. New York's concentration of financial institutions, media conglomerates, and enterprise technology firms means demand is distributed well beyond the pure tech sector.
Which New York cities have the most applied ai engineer jobs?
New York, Albany, and Bloomfield have the most applied ai engineer openings in New York. New York City dominates because of its density of financial services firms, advertising technology companies, and large enterprise headquarters that are actively embedding AI into core products, while smaller metro areas like Albany reflect state government modernization efforts and research university spinouts.
Are there remote applied ai engineer jobs in New York?
Yes, and more than most fields. About 73% of applied ai engineer openings tied to New York are remote or hybrid as of November 2026, reflecting how well this role translates to distributed work. Model development, experimentation, and code review are the parts of the job most commonly performed fully remotely, while production deployment reviews and cross-team integration work more often pull engineers on-site at least part of the week.
How can I get hired as a applied ai engineer in New York with little or no experience?
The most realistic entry path is a junior or associate ML engineer role at a mid-size New York technology company or a rotational new-grad program at a larger institution like IBM or a major New York bank. Candidates who move from data analyst or software engineering roles with strong Python skills are consistently competitive. A portfolio showing at least one end-to-end deployed model, even from a personal or academic project, and a cloud AI certification give candidates without direct applied AI experience a concrete edge in New York screening.
Where can I find and apply to applied ai engineer jobs in New York?
You can find and apply to applied ai engineer jobs in New York on Migrate Mate, which lists current New York openings. Search the listings, find roles that match your experience and location preferences, and apply directly to the ones that fit.
See All 113+ Applied 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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