AI Architect Visa Sponsorship Jobs in New York
New York is one of the most active markets for AI architect roles, with demand concentrated in Manhattan's finance and tech sectors, as well as growing hubs in Brooklyn and Long Island City. Major employers include JPMorgan Chase, IBM, Google, and a dense cluster of AI-focused startups, many of which have established H-1B visa sponsorship histories.
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Get Access To All JobsINTRODUCTION
Immediate need for a talented AI Architect. This is a Fulltime opportunity with long-term potential and is located in New York City, New York (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Pay Range: $152000 - $155000/annum base + 10% + 5% bonus. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Architect & Scale AI Solutions:
- Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs).
-
Establish best practices for building robust and reusable AI platforms.
-
Lead Generative & Agentic AI Innovation:
- Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks.
-
Drive innovation in areas such as RAG, context engineering, and intelligent automation.
-
Enterprise Impact & Transformation:
-
Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy.
-
Technical Leadership & Governance:
- Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices.
-
Ensure scalability, security, and compliance across all AI initiatives.
-
Cross-functional Leadership:
- Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions.
-
Lead architecture discussions and influence key technical decisions.
-
Mentorship & Capability Building:
- Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture.
-
Lead communities of practice and contribute to organizational capability development.
-
Additional Expectations (Architect Level):
- Define AI roadmap and contribute to organizational AI strategy.
- Establish reusable frameworks, accelerators, and best practices.
- Drive cost optimization and performance efficiency at scale.
- Ensure ethical AI and responsible AI implementation.
KEY REQUIREMENTS AND TECHNOLOGY EXPERIENCE:
- Must have skills: 11–13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systems.
- Data Modeling, Generative & Agentic AI, Machine Learning, Python, Embeddings & Vector Databases.
-
Proven experience in architecting enterprise-grade AI/ML platforms and solutions.
-
Technical Expertise:
-
AI/ML & Advanced Analytics:
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
- Experience designing scalable ML systems and production pipelines.
-
Generative AI & Agentic AI:
- Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applications.
- Strong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databases.
- Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration.
-
Architecture & Engineering:
- Strong system design and architecture skills for distributed AI systems.
- Expertise in Python, SQL, and software engineering best practices.
- Experience with microservices, APIs, and scalable backend systems.
-
MLOps & Platform Engineering:
- Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance.
- Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar.
-
Cloud & Data Platforms:
- Deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks.
- Strong understanding of data lakes, data warehouses, and real-time data processing.
-
Soft Skills & Mindset:
-
Strategic Leadership:
- Ability to align AI initiatives with business goals and drive long-term technology vision.
-
Ownership & Accountability:
- Takes end-to-end ownership of architecture, delivery, and outcomes.
-
Influence & Communication:
- Strong ability to communicate complex technical concepts to senior stakeholders and executives.
-
Innovation Mindset:
- Continuously explores emerging AI trends and drives adoption of next-gen technologies.
-
Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
- Experience with Generative AI and Agentic AI frameworks.
- Hands-on experience with LLMs such as GPT, Claude, Llama, and Gemini.
- Strong knowledge of RAG architectures, prompt engineering, context engineering, embeddings, and vector databases.
- Experience with agentic frameworks including LangGraph, CrewAI, and AutoGen.
- Expertise in Python, SQL, and software engineering best practices.
- Experience designing scalable AI/ML systems and production pipelines.
- Strong understanding of distributed AI systems, microservices, and APIs.
- Experience with MLOps tools such as MLflow, Vertex AI, and Kubeflow.
- Deep experience with cloud platforms, especially GCP and Databricks.
- Knowledge of data lakes, data warehouses, and real-time data processing.
- Strong leadership, communication, and stakeholder management skills.
- Experience driving enterprise AI strategy, governance, and responsible AI practices.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
Our client is a leading IT Services and IT Consulting Industry and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
INTRODUCTION
Immediate need for a talented AI Architect. This is a Fulltime opportunity with long-term potential and is located in New York City, New York (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Pay Range: $152000 - $155000/annum base + 10% + 5% bonus. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Architect & Scale AI Solutions:
- Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs).
-
Establish best practices for building robust and reusable AI platforms.
-
Lead Generative & Agentic AI Innovation:
- Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks.
-
Drive innovation in areas such as RAG, context engineering, and intelligent automation.
-
Enterprise Impact & Transformation:
-
Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy.
-
Technical Leadership & Governance:
- Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices.
-
Ensure scalability, security, and compliance across all AI initiatives.
-
Cross-functional Leadership:
- Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions.
-
Lead architecture discussions and influence key technical decisions.
-
Mentorship & Capability Building:
- Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture.
-
Lead communities of practice and contribute to organizational capability development.
-
Additional Expectations (Architect Level):
- Define AI roadmap and contribute to organizational AI strategy.
- Establish reusable frameworks, accelerators, and best practices.
- Drive cost optimization and performance efficiency at scale.
- Ensure ethical AI and responsible AI implementation.
KEY REQUIREMENTS AND TECHNOLOGY EXPERIENCE:
- Must have skills: 11–13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systems.
- Data Modeling, Generative & Agentic AI, Machine Learning, Python, Embeddings & Vector Databases.
-
Proven experience in architecting enterprise-grade AI/ML platforms and solutions.
-
Technical Expertise:
-
AI/ML & Advanced Analytics:
- Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
- Experience designing scalable ML systems and production pipelines.
-
Generative AI & Agentic AI:
- Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applications.
- Strong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databases.
- Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi-agent orchestration.
-
Architecture & Engineering:
- Strong system design and architecture skills for distributed AI systems.
- Expertise in Python, SQL, and software engineering best practices.
- Experience with microservices, APIs, and scalable backend systems.
-
MLOps & Platform Engineering:
- Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance.
- Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar.
-
Cloud & Data Platforms:
- Deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks.
- Strong understanding of data lakes, data warehouses, and real-time data processing.
-
Soft Skills & Mindset:
-
Strategic Leadership:
- Ability to align AI initiatives with business goals and drive long-term technology vision.
-
Ownership & Accountability:
- Takes end-to-end ownership of architecture, delivery, and outcomes.
-
Influence & Communication:
- Strong ability to communicate complex technical concepts to senior stakeholders and executives.
-
Innovation Mindset:
- Continuously explores emerging AI trends and drives adoption of next-gen technologies.
-
Strong expertise in Machine Learning, Deep Learning, and statistical modeling.
- Experience with Generative AI and Agentic AI frameworks.
- Hands-on experience with LLMs such as GPT, Claude, Llama, and Gemini.
- Strong knowledge of RAG architectures, prompt engineering, context engineering, embeddings, and vector databases.
- Experience with agentic frameworks including LangGraph, CrewAI, and AutoGen.
- Expertise in Python, SQL, and software engineering best practices.
- Experience designing scalable AI/ML systems and production pipelines.
- Strong understanding of distributed AI systems, microservices, and APIs.
- Experience with MLOps tools such as MLflow, Vertex AI, and Kubeflow.
- Deep experience with cloud platforms, especially GCP and Databricks.
- Knowledge of data lakes, data warehouses, and real-time data processing.
- Strong leadership, communication, and stakeholder management skills.
- Experience driving enterprise AI strategy, governance, and responsible AI practices.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
Our client is a leading IT Services and IT Consulting Industry and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
AI Architect Job Roles in New York
See all 61+ AI Architect Jobs in New York
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Search AI Architect Jobs in New YorkAI Architect Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI architects in New York?
New York's largest H-1B sponsors for AI and machine learning roles include JPMorgan Chase, IBM, Google, Meta, Amazon, and Accenture, all of which maintain significant engineering offices in Manhattan. Financial services firms like Goldman Sachs and Citigroup have also increased AI architecture hiring and have documented sponsorship histories available through Department of Labor LCA disclosure data.
Which visa types are most common for AI architect roles in New York?
The H-1B is the most common visa for AI architects in New York, as the role typically requires a bachelor's degree or higher in computer science, data science, or a related field, satisfying the specialty occupation standard. The O-1A is an alternative for candidates with exceptional recognition, such as published research, patents, or industry awards. L-1A and L-1B visas apply when transferring within a multinational employer.
Which cities in New York have the most AI architect sponsorship jobs?
Manhattan concentrates the majority of AI architect sponsorship activity, particularly in Midtown and Lower Manhattan where financial institutions and enterprise tech companies are headquartered. Brooklyn's tech corridor and Long Island City in Queens have grown as secondary hubs, especially for startups and mid-size AI firms. Albany sees some demand from state government and healthcare technology employers, but it remains a smaller market compared to New York City.
How to find ai architect visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify New York employers actively hiring AI architects who will support an H-1B or other work visa. Rather than sorting through thousands of general postings, you can search within the AI architect category scoped to New York to surface roles where sponsorship is part of the offer. This saves significant time during a job search where visa eligibility is a hard requirement.
What should AI architects know about New York's sponsorship market and prevailing wages?
New York City consistently falls into the highest Department of Labor wage tier for AI and machine learning roles, which means sponsoring employers must meet elevated prevailing wage requirements when filing a Labor Condition Application. This can make smaller startups more cautious about sponsoring, while large financial institutions and established tech employers are generally more experienced with the process. Candidates with specialized skills in generative AI, MLOps, or large language model infrastructure tend to attract the most sponsorship-willing employers in this market.
What is the prevailing wage for sponsored ai architect 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.