Green Card Associate AI Engineer Jobs
Associate AI Engineer jobs with green card sponsorship require PERM labor certification through the Department of Labor before your employer can file an I-140 petition with USCIS. EB-2 applies if you hold an advanced degree in computer science, machine learning, or a related field; EB-3 covers bachelor's-level candidates with qualifying experience. Priority date backlogs vary by country of birth.
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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
See all 48+ Green Card Associate AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Associate AI Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Associate AI Engineer
Align your credentials to EB-2 requirements early
If your degree is a three-year bachelor's, document five years of progressive AI or ML experience to satisfy the EB-2 advanced-degree equivalent standard. Gather transcripts, performance reviews, and project records before any sponsoring employer initiates PERM.
Search for PERM-filing employers on Migrate Mate
Use Migrate Mate to identify employers with verified green card sponsorship history for AI and machine learning roles, filtered by location and occupation. This surfaces active sponsors rather than companies that only hire on temporary work status.
Verify prevailing wage tier before accepting an offer
Your employer must pay at least the DOL prevailing wage for your SOC code and location. Use the OFLC Wage Search to look up the Level I through Level IV wage for your specific metro area before negotiating compensation, since PERM locks in that wage floor.
Confirm the employer completes a good-faith recruitment test
PERM requires your employer to run documented recruitment before filing with DOL, including job postings, newspaper ads, and internal notices. Ask HR whether they have PERM experience and a process for documenting that no qualified U.S. workers were available for the role.
Understand your O*NET occupational classification
The O*NET profile for your role shapes how DOL classifies your position and influences which EB category applies. Reviewing it helps you catch mismatches between your actual duties and the job description your employer submits on the PERM application.
Track your priority date and plan for portability
Once your I-140 is approved, your priority date is locked even if you change employers. Once your I-485 has been pending 180 days or more, AC21 portability lets you move to a same or similar AI engineering role without restarting the green card process from the beginning.
Green Card Associate AI Engineer: Frequently Asked Questions
What is the difference between H-1B and green card sponsorship for Associate AI Engineer roles?
H-1B visa sponsorship is temporary, requiring renewal every few years and tying you to a specific employer. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residence. The process involves PERM labor certification filed with the Department of Labor, an I-140 petition with USCIS, and then adjustment of status or consular processing. There is no lottery, but per-country priority date backlogs apply.
Does my AI engineering role qualify for EB-2 or EB-3 sponsorship?
Most Associate AI Engineer positions require at least a bachelor's degree in computer science, data science, or a related field, which qualifies under EB-3. If you hold a master's degree or a bachelor's plus five years of progressive experience in machine learning or AI development, you likely qualify for EB-2. Your employer's immigration attorney will determine the appropriate category based on the specific duties in your PERM job description.
How long does the green card process take for an AI engineering role?
The timeline depends on your country of birth and the current priority date for your EB category. PERM certification alone typically takes several months, followed by I-140 adjudication. Nationals from countries with high-demand backlogs, such as India and China, can face significantly longer waits before an immigrant visa number becomes available. USCIS publishes monthly Visa Bulletins tracking current priority dates.
How do I find employers who sponsor green cards for Associate AI Engineer positions?
Migrate Mate lists employers with verified green card sponsorship history for AI and machine learning roles, so you can target companies that have already committed to the PERM process rather than guessing at sponsorship willingness. Focus on mid-size to large technology and research organizations, which are more likely to have established immigration programs and in-house experience managing PERM filings.
Can I change jobs after my employer starts the green card process?
Yes, but the timing matters. If your I-485 adjustment of status application has been pending for 180 days or more, AC21 portability lets you accept a new position in the same or a similar occupation without losing your place in the process. Your approved I-140 priority date can also carry over to a new employer's petition, protecting your earlier filing date if you restart with a new sponsor.