AI Architect Jobs in New York
AI Architect jobs in New York are among the most active in the country, concentrated in financial services, media and entertainment, healthcare technology, and enterprise software across a seniority range from entry-level machine learning engineers through principal and staff architects. The largest hiring metros are New York City, Buffalo, and Albany, with anchored employers like JPMorgan Chase, IBM, and Verizon consistently building out AI architecture teams in the region. The most in-demand specialties include large language model integration, MLOps platform design, and cloud-native AI infrastructure. Find a role that fits below and apply directly.
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Mission
Mission:
As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action.
You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.
Your profile
What You Will Do:
Act as the R&D domain expert and solution architect for Aily App modules:
Internally
Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases.
Externally
Drive client value realization by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D managers and executives, and accelerating time to value.Your Responsibilities
R&D Solution Architecture
- Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
- Define AI outcomes and R&D decision quality standards
- Co-shape scalable product capabilities across research, portfolio, and clinical use cases
- Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
- Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
- Influence the product roadmap through client impact and adoption insights
R&D Authority in the Room
- Act as the trusted R&D domain expert for clients and internal Product and AI teams
- Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
- Represent R&D user needs in product and roadmap discussions
- Communicate AI and data topics, assumptions, and trade-offs in clear business language
Deployment, Adoption & Time-to-Value
- Drive rollouts from entry-point use cases to enterprise-wide adoption
- Own time to first active user and time to routine across R&D deployments
- Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
- Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences
Your Profile:
Must Have:
- Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
- Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes
- 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
- Exposure to R&D analytics, performance management, or digital transformation initiatives
- Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
Strongly recommended:
- Background in tech consulting, solution architecture, or product-facing roles
- Experience with AI-powered, analytics, or data-intensive R&D products
- Exposure to enterprise SaaS environments
- Experience mentoring, leading, or scaling small teams or domain practices
- Experience working across global R&D organizations or multi-therapeutic portfolios teams
- Proven experience working with Fortune 500 or large enterprise clients
- Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
- Strong communication skills with senior procurement and executive stakeholders
- Ability to operate autonomously in complex, multi-stakeholder environments
Why Aily:
- Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
- Take real ownership of outcomes, from product design to measurable operational impact
- Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
- Be part of a high-performing, international team with strong product and AI DNA
- Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
- Competitive compensation with performance-based rewards
- Open feedback culture, continuous learning, and freedom to experiment
- Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact
Who are we?
About Aily
Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.
Our flagship AI mobile app delivers real-time, actionable business recommendations across core functions, breaking silos and embedding AI directly into daily business routines. We are the reference decision intelligence platform for AI-driven decision-making in large organizations.
About us
LEARN MORE
Mission
Mission:
As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action.
You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.
Your profile
What You Will Do:
Act as the R&D domain expert and solution architect for Aily App modules:
Internally
Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases.
Externally
Drive client value realization by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D managers and executives, and accelerating time to value.Your Responsibilities
R&D Solution Architecture
- Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
- Define AI outcomes and R&D decision quality standards
- Co-shape scalable product capabilities across research, portfolio, and clinical use cases
- Partner with Product, ML, and Engineering on feasibility and R&D operational readiness
- Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
- Influence the product roadmap through client impact and adoption insights
R&D Authority in the Room
- Act as the trusted R&D domain expert for clients and internal Product and AI teams
- Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives
- Represent R&D user needs in product and roadmap discussions
- Communicate AI and data topics, assumptions, and trade-offs in clear business language
Deployment, Adoption & Time-to-Value
- Drive rollouts from entry-point use cases to enterprise-wide adoption
- Own time to first active user and time to routine across R&D deployments
- Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns
- Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences
Your Profile:
Must Have:
- Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
- Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes
- 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
- Exposure to R&D analytics, performance management, or digital transformation initiatives
- Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
Strongly recommended:
- Background in tech consulting, solution architecture, or product-facing roles
- Experience with AI-powered, analytics, or data-intensive R&D products
- Exposure to enterprise SaaS environments
- Experience mentoring, leading, or scaling small teams or domain practices
- Experience working across global R&D organizations or multi-therapeutic portfolios teams
- Proven experience working with Fortune 500 or large enterprise clients
- Extreme ownership mindset, with accountability for outcomes, adoption, and time to value
- Strong communication skills with senior procurement and executive stakeholders
- Ability to operate autonomously in complex, multi-stakeholder environments
Why Aily:
- Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
- Take real ownership of outcomes, from product design to measurable operational impact
- Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
- Be part of a high-performing, international team with strong product and AI DNA
- Hybrid setup with 2–3 days per week in our Madrid, Barcelona or Munich office
- Competitive compensation with performance-based rewards
- Open feedback culture, continuous learning, and freedom to experiment
- Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact
Who are we?
About Aily
Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.
Our flagship AI mobile app delivers real-time, actionable business recommendations across core functions, breaking silos and embedding AI directly into daily business routines. We are the reference decision intelligence platform for AI-driven decision-making in large organizations.
About us
LEARN MORE
See All 81 AI Architect Jobs in New York
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Find AI Architect JobsAI Architect Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Architect 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
- Science & Research
- Fintech
- Education
- Insurance
What New York Employers Look For
The qualifications that appear most often in AI architect jobs across New York.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Hands-on experience designing and deploying production-grade machine learning or deep learning systems
- Proficiency with major cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong command of Python and familiarity with frameworks like TensorFlow, PyTorch, or similar
- Experience with MLOps tooling, model versioning, and CI/CD pipelines for AI systems
- Ability to communicate architecture decisions and trade-offs clearly to both technical and non-technical stakeholders
AI Architect Jobs in New York: Frequently Asked Questions
How do you become a ai architect in New York?
There is no state-issued license required to work as an ai architect in New York, so the path runs through education and demonstrated technical experience. Most hiring managers expect at least a bachelor's degree in computer science, engineering, or a related field, with a master's degree preferred for senior roles. New York employers across finance, healthcare, and media commonly look for candidates who can show production AI deployments, and cloud certifications from AWS or Google Cloud carry real weight in local job postings.
How much do AI architects make in New York?
AI architects 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 architects in New York?
Employers hiring ai architects in New York right now include Logic, JPMorganChase, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. New York's concentration of major financial institutions, global media companies, and large healthcare networks makes it one of the more consistent markets for ongoing ai architect hiring across multiple industries.
Which New York cities have the most ai architect jobs?
New York, Niskayuna, and Buffalo have the most ai architect openings in New York. New York City dominates because of its dense concentration of financial services firms, advertising technology companies, and enterprise software headquarters, while Buffalo and Albany draw demand from healthcare systems, state government technology initiatives, and regional insurers that have been expanding their AI capabilities.
Are there remote ai architect jobs in New York?
Yes, and more than most fields. About 68% of ai architect openings tied to New York are remote or hybrid as of November 2026, reflecting how much of the work involves code, cloud consoles, and design tools rather than physical presence. The parts of the role most commonly handled remotely are model development, architecture documentation, and cross-team technical reviews, while stakeholder alignment sessions and platform launches tend to pull architects on-site.
How can I get hired as a ai architect in New York with little or no experience?
The most realistic entry path is moving from a data engineer, machine learning engineer, or software engineer role into architecture responsibilities at the same employer. Large New York financial institutions like JPMorgan Chase and Citigroup run associate technology programs and rotational engineering tracks that place early-career candidates on AI platform teams. Building a public portfolio of end-to-end ML projects and earning a cloud certification before applying gives candidates a concrete edge over others without a formal architecture title on their resume.
Where can I find and apply to ai architect jobs in New York?
You can find and apply to ai architect 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 one.
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