H-1B Visa Associate AI Engineer Jobs
Associate AI Engineer jobs at H-1B visa sponsoring employers sit squarely within specialty occupation territory, requiring a bachelor's degree in computer science, data science, or a closely related field. Employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, granting status for up to three years with extensions available.
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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 52+ H-1B Visa Associate AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Associate AI Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Associate AI Engineer
Align your degree to AI engineering duties
USCIS evaluates whether your specific degree field directly relates to the role's core duties. A computer science, machine learning, or data science degree maps cleanly to Associate AI Engineer responsibilities. A general business or unrelated STEM degree may trigger a Request for Evidence.
Look up prevailing wages before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to find the Level I and Level II thresholds for AI engineering roles in your target city before you receive an offer.
Find sponsors through Migrate Mate
Target employers with verified H-1B LCA filing history in AI and machine learning roles. Migrate Mate shows employers who have sponsored similar positions, so you're not applying blind to companies that have never navigated H-1B for technical hires.
Confirm each worksite has its own LCA
If your role involves client sites, hybrid arrangements, or a second office location, each worksite needs a separately certified LCA before you begin work there. Raise this with your employer's immigration counsel early so the filings don't lag behind your start date.
Review your O*NET profile before interviews
O*NET lists the core tasks and knowledge requirements for AI engineering occupations. Reviewing it helps you frame your experience in language that matches how USCIS and DOL evaluate specialty occupation petitions, which can strengthen your employer's I-129 support letter.
Time your application around cap selection changes
H-1B cap selection rules have changed recently, affecting when registrations open and how selections work. If you're not already in an H-1B-exempt setting, ask prospective employers about their cap-subject filing timeline so you can plan your start date and OPT or grace period accordingly.
H-1B Visa Associate AI Engineer: Frequently Asked Questions
Does an Associate AI Engineer role qualify as an H-1B specialty occupation?
Yes. Associate AI Engineer roles typically require at least a bachelor's degree in computer science, machine learning, data science, or a directly related field, which meets USCIS's specialty occupation definition. Employers document this in the I-129 petition by showing that the position's core duties, such as model development, training pipelines, and algorithm implementation, require degree-level theoretical knowledge.
How do I find employers who actively sponsor H-1B visas for AI engineering roles?
Migrate Mate lists employers with verified H-1B LCA filing history, searchable by role and location. This lets you focus your applications on companies that have already sponsored similar positions rather than spending time on employers who have no H-1B infrastructure in place for technical hires.
What happens to my H-1B status if my Associate AI Engineer role changes significantly?
A material change in job duties, worksite, or salary can require an amended I-129 petition before the change takes effect. If the amended role still qualifies as a specialty occupation and your employer files promptly, your status continues. USCIS treats unamended material changes as a violation, so flag any significant role evolution to your employer's immigration counsel early.
Can my employer use a staffing or consulting arrangement for my H-1B as an Associate AI Engineer?
Third-party placement arrangements face heightened USCIS scrutiny, particularly around employer control and specialty occupation documentation. The sponsoring employer must demonstrate it directs your day-to-day work and that the end-client site qualifies the role as a specialty occupation. Each worksite also needs its own certified LCA filed with DOL before you begin working there.
How long does H-1B status last for an Associate AI Engineer, and can it be extended?
H-1B status is initially granted for up to three years and can be extended for a total of six years. Beyond six years, extensions are available only if a PERM labor certification or I-140 immigrant petition has been filed and approved under specific timelines. Planning your green card process early preserves your ability to stay beyond the six-year cap.