Senior Solution Architect Visa Sponsorship Jobs in New York
Senior solution architect visa sponsorship jobs in New York are concentrated in financial services, tech, and consulting sectors across Manhattan, with major employers including JPMorgan Chase, IBM, Accenture, and Cognizant regularly filing H-1B visa petitions for this role. The state's density of Fortune 500 headquarters and enterprise technology clients makes it one of the most active markets in the country.
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Get Access To All JobsRole: AI Solution Architect
Location: Manhattan, NY (NY/ NJ talents are preferred)
Full time permanent
We are looking for an experienced AI Solution Architect to architect and deliver enterprise-grade AI/ML, Generative AI, and Agentic AI solutions using Spec-Driven Engineering practices. The role requires a combination of strong architecture expertise, hands-on AI engineering knowledge, cloud-native solution design, and the ability to translate complex business requirements into secure, scalable, production-ready AI solutions through clear, testable, and traceable specifications.
Required Skills
- Strong understanding of Machine Learning, Deep Learning, Generative AI, LLMs/SLMs, RAG, Agentic AI, prompt/context engineering, embeddings, vector search, structured outputs, and AI evaluation techniques.
- Strong hands-on knowledge of Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or CrewAI.
- Experience with enterprise AI and cloud platforms such as Azure AI Foundry/Azure Machine Learning, AWS SageMaker and related AWS AI services, or Google Vertex AI.
- Knowledge of SQL, NoSQL, vector databases, graph databases, knowledge graphs, and data/platform technologies such as Kafka, Spark, and Airflow.
- Experience with cloud-native engineering and MLOps/LLMOps, including Docker, Kubernetes, Terraform, CI/CD, GitOps, MLflow or equivalent lifecycle and observability platforms.
- Strong understanding of REST/GraphQL APIs, microservices, event-driven architectures, distributed systems, enterprise integration patterns, and architecture for security, privacy, resiliency, scalability, performance, observability, and cost optimization.
- Experience with Spec-Driven Engineering, including requirements decomposition, architecture and API specifications, executable acceptance criteria, specification-to-code/test traceability, version control, and AI-assisted engineering workflows.
- Strong client-facing solutioning, stakeholder management, technical leadership, architecture documentation, and communication skills, with experience designing AI solutions for regulated industries.
- Knowledge of knowledge graphs, ontologies and Graph-RAG architectures.
Key Responsibilities
- Architect end-to-end enterprise AI solutions spanning data ingestion, model/LLM integration, retrieval, orchestration, application integration, deployment, evaluation, monitoring, and governance.
- Design Generative AI, RAG, and Agentic AI solutions.
- Define Agentic AI architectures incorporating agent orchestration, tool/API integration, context and memory management, human-in-the-loop controls, guardrails, evaluation, and observability.
- Evaluate and select appropriate LLMs, SLMs, embedding models, AI frameworks, retrieval approaches, and deployment patterns based on accuracy, latency, security, scalability, and cost.
- Architect AI solutions using services across AWS, Microsoft Azure, and Google Cloud, with deep expertise in at least one hyperscaler.
- Design cloud-native and distributed architectures using APIs, microservices, event-driven patterns, containers, and Kubernetes.
- Define enterprise AI security and governance controls covering identity and access, data privacy, responsible AI, model security, auditability, and regulatory requirements.
- Lead solution discovery, architecture definition, technical assessments, POCs, reference architectures, reusable accelerators, and productionization.
- Drive Spec-Driven Engineering across the AI solution lifecycle by translating business intent, architecture decisions, functional and non-functional requirements, interfaces, guardrails, and acceptance criteria into version-controlled, machine-consumable specifications that guide design, code generation, testing, validation, and deployment.
- Partner with business stakeholders, enterprise architects, product teams, data scientists, AI engineers, DevOps/platform teams, and security teams.
- Provide technical leadership, conduct architecture/design reviews, mentor engineering teams, and communicate solution trade-offs to technical and executive stakeholders.
Role: AI Solution Architect
Location: Manhattan, NY (NY/ NJ talents are preferred)
Full time permanent
We are looking for an experienced AI Solution Architect to architect and deliver enterprise-grade AI/ML, Generative AI, and Agentic AI solutions using Spec-Driven Engineering practices. The role requires a combination of strong architecture expertise, hands-on AI engineering knowledge, cloud-native solution design, and the ability to translate complex business requirements into secure, scalable, production-ready AI solutions through clear, testable, and traceable specifications.
Required Skills
- Strong understanding of Machine Learning, Deep Learning, Generative AI, LLMs/SLMs, RAG, Agentic AI, prompt/context engineering, embeddings, vector search, structured outputs, and AI evaluation techniques.
- Strong hands-on knowledge of Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or CrewAI.
- Experience with enterprise AI and cloud platforms such as Azure AI Foundry/Azure Machine Learning, AWS SageMaker and related AWS AI services, or Google Vertex AI.
- Knowledge of SQL, NoSQL, vector databases, graph databases, knowledge graphs, and data/platform technologies such as Kafka, Spark, and Airflow.
- Experience with cloud-native engineering and MLOps/LLMOps, including Docker, Kubernetes, Terraform, CI/CD, GitOps, MLflow or equivalent lifecycle and observability platforms.
- Strong understanding of REST/GraphQL APIs, microservices, event-driven architectures, distributed systems, enterprise integration patterns, and architecture for security, privacy, resiliency, scalability, performance, observability, and cost optimization.
- Experience with Spec-Driven Engineering, including requirements decomposition, architecture and API specifications, executable acceptance criteria, specification-to-code/test traceability, version control, and AI-assisted engineering workflows.
- Strong client-facing solutioning, stakeholder management, technical leadership, architecture documentation, and communication skills, with experience designing AI solutions for regulated industries.
- Knowledge of knowledge graphs, ontologies and Graph-RAG architectures.
Key Responsibilities
- Architect end-to-end enterprise AI solutions spanning data ingestion, model/LLM integration, retrieval, orchestration, application integration, deployment, evaluation, monitoring, and governance.
- Design Generative AI, RAG, and Agentic AI solutions.
- Define Agentic AI architectures incorporating agent orchestration, tool/API integration, context and memory management, human-in-the-loop controls, guardrails, evaluation, and observability.
- Evaluate and select appropriate LLMs, SLMs, embedding models, AI frameworks, retrieval approaches, and deployment patterns based on accuracy, latency, security, scalability, and cost.
- Architect AI solutions using services across AWS, Microsoft Azure, and Google Cloud, with deep expertise in at least one hyperscaler.
- Design cloud-native and distributed architectures using APIs, microservices, event-driven patterns, containers, and Kubernetes.
- Define enterprise AI security and governance controls covering identity and access, data privacy, responsible AI, model security, auditability, and regulatory requirements.
- Lead solution discovery, architecture definition, technical assessments, POCs, reference architectures, reusable accelerators, and productionization.
- Drive Spec-Driven Engineering across the AI solution lifecycle by translating business intent, architecture decisions, functional and non-functional requirements, interfaces, guardrails, and acceptance criteria into version-controlled, machine-consumable specifications that guide design, code generation, testing, validation, and deployment.
- Partner with business stakeholders, enterprise architects, product teams, data scientists, AI engineers, DevOps/platform teams, and security teams.
- Provide technical leadership, conduct architecture/design reviews, mentor engineering teams, and communicate solution trade-offs to technical and executive stakeholders.
Senior Solution Architect Job Roles in New York
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Search Senior Solution Architect Jobs in New YorkSenior Solution Architect Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for senior solution architects in New York?
Financial services firms, global consultancies, and enterprise technology companies are among the most active H-1B sponsors for senior solution architect roles in New York. JPMorgan Chase, Citigroup, IBM, Accenture, Cognizant, and Infosys have consistent histories of sponsoring this role. Cloud platform vendors with New York offices, including Google and Microsoft, also file regularly for senior-level architecture positions.
Which visa types are most common for senior solution architect roles in New York?
The H-1B is the most common visa for senior solution architects in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. L-1A and L-1B transfers are also used when candidates are moving from an overseas office of a multinational employer. O-1A petitions occasionally apply for candidates with demonstrated exceptional achievement.
Which cities in New York have the most senior solution architect sponsorship jobs?
Manhattan concentrates the vast majority of senior solution architect sponsorship activity in New York, driven by its density of financial institutions, consulting firms, and enterprise clients. Buffalo and Rochester have smaller but active markets tied to healthcare technology and manufacturing IT. Albany sees sponsorship from state government contractors and healthcare networks. Remote arrangements headquartered in New York City also factor into the overall count.
How to find senior solution architect visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter senior solution architect roles by state, so you can browse New York listings from employers actively open to sponsoring. The platform focuses exclusively on sponsorship-willing employers, which removes the uncertainty of applying to roles where visa support is unclear. Filtering by New York surfaces both Manhattan-based enterprise roles and positions at regional employers across the state.
Are there any New York-specific considerations for senior solution architect sponsorship?
New York's high concentration of financial services employers means many senior solution architect roles sit within regulated industries, which can affect how employers structure job duties and degree requirements for H-1B purposes. The state's prevailing wage levels for this occupation are among the highest in the country, reflecting the cost of the metro market, and employers must certify compliance with those wages through the Labor Condition Application process before sponsoring a candidate.
What is the prevailing wage for sponsored senior solution 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.