AI Product Engineer Visa Sponsorship Jobs in New York
New York is one of the top states for AI product engineer visa sponsorship, with major employers including Google, Amazon, Microsoft, and a dense cluster of AI-focused startups concentrated in Manhattan and Brooklyn. The city's fintech, media, and enterprise software sectors create consistent demand for engineers who can build and ship AI-driven products.
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Company Description
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We're looking for a product manager who embeds directly with engineering, product, and business teams to build and ship AI products that directly serve our NBCUniversal businesses. You'll work side-by-side with Enterprise Business Solutions Product and Program teams to identify high-value problems, rapidly prototype and deploy production agentic solutions to drive business impact.
As a Senior Product Manager in the Enterprise Business Solutions AI Product team, you will own the full lifecycle of agent products — from discovery through deployment and ongoing iteration. You'll build intelligent workflows that automate program operations, surface insights from complex data, and enable teams across NBCUniversal to work with agentic solutions.
Your work will have a direct, measurable business impact on our employees’ experience and effectiveness in their work outputs. This role is a blend of technical, design, education, and product thinking. You will understand business needs deeply, identify where AI creates leverage, write code, and ship solutions that will drive real business impact.
Key Responsibilities
- Work directly with Enterprise Business Solutions program and product teams to identify highest-value use cases for agentic solutions, deployment, tool adoption, and infrastructure architecture
- Partner with client-facing teams to understand customer use cases, ensuring conversational agents meet the needs of both end users and stakeholders.
- Assist in the building of end-to-end agentic products and solutions (including multi-agent orchestration, tool use, and structured reasoning), from concept and design through implementation, ensuring scalability, adaptability, and alignment with business objectives.
- Co-develop agentic solutions with business teams — enabling them to customize, maintain, and operate agents after initial deployment.
- Translate ambiguous business problems into well-scoped agentic product and solution requirements with clear success metrics.
- Leverage data insights to continuously optimize AI products and business outcomes — measuring adoption, output quality, user journeys, time-to-insight, and other KPIs.
- Own agent quality by implementing evaluation frameworks, monitoring production accuracy, and driving prompt iteration cycles based on eval results.
- Create and present documentation to business partners, execute product demos and walk-throughs, and deliver AI-driven analytics capabilities that enable real-time, data-informed decision-making across the enterprise.
Qualifications
- Bachelor’s degree in data analytics, computer science, or related field.
- 8+ years of experience in digital product development or a closely related field
- Exceptional communication and collaboration skills, with the ability to influence stakeholders at all levels.
- Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture (prompt engineering, tool use, agent orchestration), NLP, machine learning algorithms, and big data analytics.
- Analytical skills for identifying user patterns, insights, and performance metrics.
- Ability to gather and comprehend complex requirements and challenges across all business levels.
- Ability to convey complex technical issues to both technical and non-technical audiences, with ability to define requirements and iterate on solutions
- Hands-on experience with understanding and building products on large data sets and enterprise data architectures requiring systems integration, data governance, and security compliance.
- Hands-on experience with AI platforms, cloud services, and analytics tools (e.g., Python, Azure, AWS, Google Cloud)
- Expertise in SDLC process, scoping, iteration planning, user story writing, rollout management.
Preferred Qualifications
- Experience building multi-agent systems or complex LLM orchestration pipelines
- Familiarity with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality scoring)
- Technical skills — ability to build end-to-end prototypes from data pipelines through user-facing interfaces
- Background in ERP systems, media, commerce, enablement, or enterprise operations domains
- Experience with MCP (Model Context Protocol) or similar tool-use frameworks
- Experience embedded with business teams to build solutions (solutions engineering, field engineering, or similar)
Additional Requirements:
- Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $130,000 - $170,000 (bonus eligible)
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.
AI Product Engineer Job Roles in New York
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Search AI Product Engineer Jobs in New YorkAI Product Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in New York?
Large technology employers with significant New York offices, including Google, Amazon, Microsoft, IBM, and Salesforce, have established sponsorship programs for AI product engineers. Beyond big tech, New York's fintech sector, with companies like Bloomberg and Two Sigma, and a growing cohort of AI-native startups in Manhattan and Brooklyn regularly file H-1B visa petitions for engineers working on machine learning infrastructure, model deployment, and AI product development.
Which visa types are most common for AI product engineer roles in New York?
The H-1B is the most common visa for AI product engineers in New York, as the role typically requires a bachelor's degree or higher in computer science, machine learning, or a related field, satisfying specialty occupation requirements. Candidates from Australia may qualify for the E-3 visa. Those with extraordinary ability or significant research contributions may explore the O-1A. F-1 graduates often bridge through OPT or STEM OPT while securing H-1B sponsorship.
How to find ai product engineer visa sponsorship jobs in New York?
Migrate Mate filters AI product engineer roles specifically by visa sponsorship availability and state, making it straightforward to identify New York employers actively willing to sponsor. Rather than sifting through general job postings where sponsorship status is unclear, Migrate Mate surfaces verified sponsorship opportunities, which is particularly useful given how competitive and time-sensitive the New York AI hiring market can be for international candidates.
Which cities in New York have the most AI product engineer sponsorship jobs?
New York City, and Manhattan in particular, accounts for the overwhelming majority of AI product engineer sponsorship opportunities in the state. The Midtown and Flatiron districts host dense concentrations of tech and enterprise software employers, while Brooklyn's growing tech corridor adds to the volume. Albany and Buffalo have smaller but present opportunities, primarily through healthcare systems, universities, and state government technology initiatives.
Are there any state-specific considerations for AI product engineers seeking sponsorship in New York?
New York's prevailing wage requirements for sponsored roles are benchmarked against one of the highest cost-of-living markets in the country, which means employers must offer wages meeting Department of Labor standards for the New York City metropolitan area. Columbia University, NYU, and Cornell Tech produce a consistent pipeline of AI talent, meaning competition among international candidates is high. Employers in regulated industries like finance and healthcare may have additional compliance considerations that can affect sponsorship timelines.
What is the prevailing wage for sponsored ai product 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.