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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Who We Are
Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.
We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.
In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.
Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.
About the Role
We’re looking for an Applied AI Lead to deliver results across Heidi’s most complex customer deployments and growth opportunities. As a senior individual contributor on Heidi’s US Applied AI team, you’ll own strategic customer relationships within a specialty-focused pod and help improve how the broader team deploys, drives adoption, and expands the use of AI.
This is a quota-carrying, consultative deployment and account management role. You’ll lead ambiguous customer engagements from discovery through implementation, expansion, and renewal, partnering with Clinical Engineers to develop solutions that create measurable clinical and operational value.
You’ll bring deep product expertise, strong commercial judgment, and a track record of solving difficult problems independently. Your impact will extend beyond your own portfolio through better processes, actionable customer insights, and mentorship of less experienced colleagues.
What you'll do
Own complex, strategic accounts. Build trusted relationships with executives, clinicians, and operational leaders, aligning stakeholders around clear transformation plans and measurable outcomes.
Pursue the highest-value growth opportunities. Independently identify and advance opportunities for adoption, expansion, and renewal, challenging low-impact work and focusing effort where it can deliver the strongest return.
Lead discovery and solution scoping. Run live product demonstrations and initial discovery independently, explain capabilities and limitations, and bring Clinical Engineers into deeper technical design and implementation.
Solve ambiguous deployment challenges. Identify root causes, develop practical options, recommend a path forward, and bring a proposed next step to each issue you raise.
Deliver complex initiatives end to end. Coordinate dependencies across customers and internal teams, track progress, surface risks early, and adjust plans to protect delivery and customer value.
Apply deep product understanding. Use Heidi’s products routinely and understand the roadmap, underlying architecture, and clinical logic well enough to identify gaps and opportunities others may miss.
Shape decisions through customer insight. Bring a detailed understanding of customer workflows, pain points, and buying processes into Product and Clinical Engineering discussions. Proactively develop use cases that increase meaningful usage.
Improve how the team works. Turn successful approaches into repeatable discovery, deployment, adoption, and account growth practices that improve consistency across the department.
Mentor and connect colleagues. Support less experienced team members, strengthen relationships between teams, and communicate complex issues clearly enough for others to act.
Maintain commercial discipline. Own accurate forecasts and account plans for your portfolio, using adoption, utilization, and credit consumption data to anticipate risks and opportunities.
What we're looking for
5+ years of experience in consultative deployment, account management, management consulting, or a related customer-facing technology role, with sustained success in complex engagements.
A track record of independently resolving ambiguous customer and commercial problems and delivering measurable adoption, retention, or expansion outcomes.
Deep product fluency, including the ability to lead demonstrations and discovery and connect technical capabilities to clinical and operational needs.
Experience building executive-level business cases and transformation plans that lead to investment and adoption.
Strong analytical judgment: you can identify root causes, assess return on investment, and challenge work that will not materially improve outcomes.
Experience coordinating multi-step initiatives across teams, managing dependencies, and identifying delivery risks before they become missed commitments.
Evidence of improving processes and translating individual expertise into practices others can use.
The ability to mentor colleagues and influence across teams without formal management authority.
Confidence in surfacing disagreement, recommending a clear direction, and committing to the agreed decision.
Strongly appreciated, but not required
Deep familiarity with clinical workflows and healthcare buying processes.
Experience deploying AI products in healthcare or other complex operational environments.
Experience growing accounts across both seat-based and usage-based commercial models.
The Way We Work
Live Forever — We build for healthcare’s next decade, not next quarter. We set outrageous targets, lead healthcare forward, and follow the evidence — even when it’s uncomfortable.
Practice Ownership — Everyone here carries the company. We raise the bar on hiring and excellence, own the outcome end-to-end, and focus on what matters over process.
Move Fast, Fix Faster — The more we do, the more we learn. We ship atoms daily, learn from every release, and stay precise at pace — Heidi never goes down.
Get Better — The best clinicians teach. So do we. We live in clinicians’ reality, bring warmth to the work, and choose clarity over cleverness.
Why You Will Flourish With Us
Generous Healthcare, Dental, and Vision benefit options 90%+ paid for by Heidi
401k with 3% match
$100/month Healthy Heidis budget
$700/year learning & development budget
Recharge Days after major pushes
The rare chance to create a global impact as you immerse yourself in one of the leading healthtech startups
Compensation Range: $140K - $165K
See All 94 Applied AI Engineer Jobs in New York
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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 & Software19
- Science & Research6
- Distribution & Wholesale2
- Biotechnology & Pharmaceuticals2
- Fintech1
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 Google, Anthropic, and Amazon, based on current listings on Migrate Mate as of September 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, New York City, and Albany 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 67% of applied ai engineer openings tied to New York are remote or hybrid as of September 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 94 Applied AI Engineer Jobs in New York
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