Associate AI Engineer Visa Sponsorship Jobs in New York
Associate AI engineer jobs in New York draw international candidates to employers across Manhattan's tech corridor, Brooklyn's growing startup scene, and the finance-driven AI teams at firms like JPMorgan Chase, IBM, and Bloomberg. New York's density of AI research labs, enterprise technology companies, and funded startups makes it one of the most active states for visa-sponsored AI engineering roles.
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Requisition ID
95310
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences.
This role will support the development of AI solutions, spanning traditional Machine Learning, Generative AI, and Agentic AI. The role focuses on building core technical skills, learning enterprise AI practices, and delivering well-defined components of AI solutions. You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.
- Execute AI/ML initiatives in partnership with data, technology, product and business teams.
- Deliver business-aligned OKRs, ensuring AI initiatives are outcome-driven and tied to enterprise value creation.
- Contribute to the end-to-end model lifecycle: data exploration, feature engineering, model training/validation, deployment, monitoring, and iteration.
- Design, build, and validate ML models across supervised and unsupervised paradigms (e.g., classification, regression, survival analysis, clustering), with attention to model selection, evaluation strategies, and production-readiness.
- Apply statistical methods and experimentation techniques — including hypothesis testing, causal inference, and A/B testing — to validate model performance and drive evidence-based decisions.
- Develop and help operationalize models using AWS/GCP (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling.
- Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
- Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
- Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
- Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
- Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
What You'll Bring
- Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
- 3+ years of hands-on experience building and deploying ML models to solve real-world business problems, including feature engineering, model selection, validation strategies, and performance monitoring.
- Strong foundation in statistics and machine learning — including supervised/unsupervised methods, probabilistic modeling, and model interpretability (e.g., SHAP) — with the ability to select and evaluate appropriate approaches for a given problem.
- Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub), testing and documentation.
- Working knowledge of Generative AI concepts (e.g., LLMs, prompt engineering, RAG).
- Exposure to Agentic AI architectures (e.g., tool-using agents, orchestration frameworks).
- Ability to partner with business stakeholders and communicate model design and outcomes to both technical and non-technical audiences.
- Strong communication skills and a collaborative mindset.
- Proactive mindset and commitment to continuous learning.
- Experience in the Life Insurance industry or consumer finance domains is a plus.
Job Level: LEVELPF3
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 95310
Job Description
Requisition ID
95310
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences.
This role will support the development of AI solutions, spanning traditional Machine Learning, Generative AI, and Agentic AI. The role focuses on building core technical skills, learning enterprise AI practices, and delivering well-defined components of AI solutions. You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.
- Execute AI/ML initiatives in partnership with data, technology, product and business teams.
- Deliver business-aligned OKRs, ensuring AI initiatives are outcome-driven and tied to enterprise value creation.
- Contribute to the end-to-end model lifecycle: data exploration, feature engineering, model training/validation, deployment, monitoring, and iteration.
- Design, build, and validate ML models across supervised and unsupervised paradigms (e.g., classification, regression, survival analysis, clustering), with attention to model selection, evaluation strategies, and production-readiness.
- Apply statistical methods and experimentation techniques — including hypothesis testing, causal inference, and A/B testing — to validate model performance and drive evidence-based decisions.
- Develop and help operationalize models using AWS/GCP (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling.
- Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
- Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
- Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
- Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
- Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
What You'll Bring
- Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
- 3+ years of hands-on experience building and deploying ML models to solve real-world business problems, including feature engineering, model selection, validation strategies, and performance monitoring.
- Strong foundation in statistics and machine learning — including supervised/unsupervised methods, probabilistic modeling, and model interpretability (e.g., SHAP) — with the ability to select and evaluate appropriate approaches for a given problem.
- Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub), testing and documentation.
- Working knowledge of Generative AI concepts (e.g., LLMs, prompt engineering, RAG).
- Exposure to Agentic AI architectures (e.g., tool-using agents, orchestration frameworks).
- Ability to partner with business stakeholders and communicate model design and outcomes to both technical and non-technical audiences.
- Strong communication skills and a collaborative mindset.
- Proactive mindset and commitment to continuous learning.
- Experience in the Life Insurance industry or consumer finance domains is a plus.
Job Level: LEVELPF3
Pay Transparency
Salary Range: $100,000-$143,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 95310
Associate AI Engineer Job Roles in New York
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Search Associate AI Engineer Jobs in New YorkAssociate AI Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for associate AI engineers in New York?
New York's largest visa sponsors for AI engineering roles include financial institutions like JPMorgan Chase, Citigroup, and Goldman Sachs, which run substantial machine learning teams, as well as IBM, Google, and Amazon in their New York offices. Healthcare systems like NYU Langone and Mount Sinai also sponsor AI engineering roles. Smaller AI startups in Manhattan and Brooklyn file sponsorships regularly, particularly for H-1B visa positions.
Which visa types realistically fit associate AI engineer roles in New York?
Associate AI engineer roles in New York qualify as specialty occupations requiring a bachelor's degree in computer science, artificial intelligence, or a related STEM field. H-1B is the primary work visa, subject to an annual cap and selection process. Canadian and Mexican nationals may qualify under the TN visa as engineers. E-3 visa applies to Australian nationals, and H-1B1 visa applies to Chilean and Singaporean nationals. F-1 students may use OPT or STEM OPT while transitioning to employer sponsorship.
Which cities in New York have the most associate AI engineer sponsorship jobs?
Manhattan accounts for the majority of associate AI engineer sponsorship activity in New York, concentrated in Midtown's finance and tech hubs and Lower Manhattan's growing startup ecosystem. Brooklyn, particularly the DUMBO and Williamsburg neighborhoods, hosts a rising number of AI-focused companies. Buffalo has an emerging technology sector tied to university research, and Albany sees some AI hiring linked to state government technology initiatives and nearby university partnerships.
How to find associate ai engineer visa sponsorship jobs in New York?
Migrate Mate lists New York associate AI engineer roles specifically from employers with verified visa sponsorship history, so you can focus your search on companies that have filed for similar positions before. Filter by New York state and AI engineering roles to see active openings. This is more targeted than a general job search because sponsorship history is verified against employer filing records, not just self-reported by companies.
Are there state-specific factors that affect associate AI engineer visa sponsorship in New York?
New York's concentration of financial services firms creates unusually strong demand for AI engineers who can work on quantitative modeling, fraud detection, and risk systems, making these among the most actively sponsored roles in the state. New York University, Columbia, and Cornell Tech all produce AI graduates who transition to sponsored roles locally. The state's high employer density also means that H-1B portability, which allows a worker already in H-1B status to start with a new employer once the new petition is filed, is exercised more frequently here than in most states.
What is the prevailing wage for sponsored associate ai engineer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.