Cloud Solutions Architect Visa Sponsorship Jobs in New Jersey
New Jersey's cloud solutions architect job market is anchored by major employers in financial services, pharmaceuticals, and telecommunications, with hiring concentrated in Newark, Jersey City, and the Route 1 corridor. Companies like Cognizant, Conduent, and Prudential Financial have sponsored cloud architects through H-1B visa and other work visas, making New Jersey one of the more active sponsorship markets in the Northeast.
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Get Access To All JobsINTRODUCTION
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ROLE
GenAI Architect
Location:
Iselin, NJ (Hybrid mode - Orion office)
Project Overview:
Join our dynamic Delivery department as a GenAI Architect, where you will play a key role in designing and implementing innovative solutions leveraging Generative AI, AI Architecture, and Transformation methodologies. With a focus on cutting-edge technologies like Azure and MCP, you will help shape robust AI-driven solutions for enterprise applications.
Modernization, quality engineering, DevSecOps, and SRE.
Partnering with client executives, sector leaders, and delivery teams, you will translate AI strategy into production solutions and measurable business outcomes. Candidates must have personally designed, coded, and deployed production AI systems.
Key Responsibilities:
- Lead AI adoption: Co-create roadmaps aligned to client priorities; prioritize high-impact use cases and embed AI into end-to-end delivery workflows.
- Architect and build solutions: Design production-grade LLM applications and multi-agent systems with secure enterprise integrations, governed model access, and clear trade-offs across quality, latency, cost, and risk.
- Drive hands-on execution: Build rapid client PoCs, guide production deployment, debug agent behavior, review code, and establish reusable architectures and engineering standards.
- Design and architect Generative AI solutions tailored to enterprise needs, ensuring scalability and reliability.
- Lead the integration of AI-related technologies within existing enterprise architecture frameworks.
- Drive digital transformation initiatives by leveraging Agentic AI and innovative methodologies.
- Develop and implement APIs to support seamless integration of AI-powered solutions across platforms.
- Collaborate with cross-functional teams to define and refine solution architectures.
- Ensure compliance with best practices and standards for enterprise and solution architecture.
- Stay updated on emerging AI trends and technologies to incorporate them into architectural strategy.
- Lead clients and teams: Advise senior stakeholders, enable changes in skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists. Develop reusable assets, industry perspectives, and thought leadership.
- Embed responsible AI: Establish security, privacy, data residency, auditability, and human oversight controls appropriate to client and regulatory requirements.
BASIC QUALIFICATIONS
Required Skills and Experience:
- Mandatory:
- Proven AI transformation experience, including recent, personal delivery of production LLM applications and agents, preferably in regulated or security-sensitive environments.
- Deep AI architecture expertise spanning model selection, orchestration, data and context layers, identity, integration, and observability.
- Hands-on experience with multi-agent systems and Agent-to-Agent (A2A) interoperability, Model Context Protocol (MCP) servers and clients, and AI gateways for routing, access controls, guardrails, and cost governance.
- Strong practical knowledge of RAG, GraphRAG, context engineering, agent memory, and agent frameworks or SDKs; experience applying AI coding assistants and autonomous agents across the SDLC.
- Expertise in LLMOps, evaluation, regression testing, tracing, production monitoring, model adaptation, and inference optimization.
- Experience implementing defenses against prompt injection and tool misuse, human approval controls, and responsible AI governance.
- Hands-on experience with at least one major cloud AI platform—Azure AI Foundry, AWS Bedrock, or Google Vertex AI—and leading model-provider APIs.
- Strong executive communication, team leadership, and commercial judgment, with the ability to translate complex technology into compelling business value.
Success in This Role
Secure, scalable AI adoption that moves beyond experimentation, delivers measurable engineering and business improvements, and maintains continuity from strategy and deal commitments through production execution.
AI Tools -
- Azure AI Foundry
- Agent365
- Copilot
- MS Purview
- Defender
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy ("Notice") explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
INTRODUCTION
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
ROLE
GenAI Architect
Location:
Iselin, NJ (Hybrid mode - Orion office)
Project Overview:
Join our dynamic Delivery department as a GenAI Architect, where you will play a key role in designing and implementing innovative solutions leveraging Generative AI, AI Architecture, and Transformation methodologies. With a focus on cutting-edge technologies like Azure and MCP, you will help shape robust AI-driven solutions for enterprise applications.
Modernization, quality engineering, DevSecOps, and SRE.
Partnering with client executives, sector leaders, and delivery teams, you will translate AI strategy into production solutions and measurable business outcomes. Candidates must have personally designed, coded, and deployed production AI systems.
Key Responsibilities:
- Lead AI adoption: Co-create roadmaps aligned to client priorities; prioritize high-impact use cases and embed AI into end-to-end delivery workflows.
- Architect and build solutions: Design production-grade LLM applications and multi-agent systems with secure enterprise integrations, governed model access, and clear trade-offs across quality, latency, cost, and risk.
- Drive hands-on execution: Build rapid client PoCs, guide production deployment, debug agent behavior, review code, and establish reusable architectures and engineering standards.
- Design and architect Generative AI solutions tailored to enterprise needs, ensuring scalability and reliability.
- Lead the integration of AI-related technologies within existing enterprise architecture frameworks.
- Drive digital transformation initiatives by leveraging Agentic AI and innovative methodologies.
- Develop and implement APIs to support seamless integration of AI-powered solutions across platforms.
- Collaborate with cross-functional teams to define and refine solution architectures.
- Ensure compliance with best practices and standards for enterprise and solution architecture.
- Stay updated on emerging AI trends and technologies to incorporate them into architectural strategy.
- Lead clients and teams: Advise senior stakeholders, enable changes in skills and ways of working, and lead forward-deployed engineers (FDEs) and AI specialists. Develop reusable assets, industry perspectives, and thought leadership.
- Embed responsible AI: Establish security, privacy, data residency, auditability, and human oversight controls appropriate to client and regulatory requirements.
BASIC QUALIFICATIONS
Required Skills and Experience:
- Mandatory:
- Proven AI transformation experience, including recent, personal delivery of production LLM applications and agents, preferably in regulated or security-sensitive environments.
- Deep AI architecture expertise spanning model selection, orchestration, data and context layers, identity, integration, and observability.
- Hands-on experience with multi-agent systems and Agent-to-Agent (A2A) interoperability, Model Context Protocol (MCP) servers and clients, and AI gateways for routing, access controls, guardrails, and cost governance.
- Strong practical knowledge of RAG, GraphRAG, context engineering, agent memory, and agent frameworks or SDKs; experience applying AI coding assistants and autonomous agents across the SDLC.
- Expertise in LLMOps, evaluation, regression testing, tracing, production monitoring, model adaptation, and inference optimization.
- Experience implementing defenses against prompt injection and tool misuse, human approval controls, and responsible AI governance.
- Hands-on experience with at least one major cloud AI platform—Azure AI Foundry, AWS Bedrock, or Google Vertex AI—and leading model-provider APIs.
- Strong executive communication, team leadership, and commercial judgment, with the ability to translate complex technology into compelling business value.
Success in This Role
Secure, scalable AI adoption that moves beyond experimentation, delivers measurable engineering and business improvements, and maintains continuity from strategy and deal commitments through production execution.
AI Tools -
- Azure AI Foundry
- Agent365
- Copilot
- MS Purview
- Defender
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, "Orion," "we" or "us") are committed to protecting your privacy. This Candidate Privacy Policy ("Notice") explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Cloud Solutions Architect Job Roles in New Jersey
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Search Cloud Solutions Architect Jobs in New JerseyCloud Solutions Architect Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for cloud solutions architects in New Jersey?
Financial services firms, pharmaceutical companies, and IT services providers are among the most active sponsors for cloud solutions architects in New Jersey. Employers like Cognizant, Conduent, Prudential Financial, Johnson & Johnson, and Verizon have filed H-1B petitions for cloud architecture roles in the state. Large consulting firms with New Jersey offices, including Infosys and Wipro, also regularly sponsor candidates for these positions.
Which visa types are most common for cloud solutions architect roles in New Jersey?
The H-1B is the most commonly used visa for cloud solutions architects in New Jersey, as these roles consistently qualify as specialty occupations requiring a bachelor's degree or higher in computer science, information technology, or a related field. The L-1A and L-1B are also used when candidates transfer from an overseas office of the same employer. Candidates with extraordinary ability may pursue the O-1A, though this is less common.
Which cities in New Jersey have the most cloud solutions architect sponsorship jobs?
Newark and Jersey City attract the highest concentration of cloud solutions architect roles, driven by proximity to New York City's financial sector and major corporate headquarters. The Route 1 corridor, stretching through Edison, Iselin, and Princeton, is another significant hub, particularly for pharmaceutical and IT services employers. Parsippany and Florham Park also see consistent hiring activity from large enterprise technology teams.
How to find cloud solutions architect visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates looking for visa sponsorship jobs, including cloud solutions architect roles in New Jersey. You can filter by state and job category to surface employers who have a verified history of sponsoring work visas. This is more targeted than general job searching because the listings are curated with sponsorship-willing employers in mind, saving time for candidates who need employer support to obtain work authorization.
Are there any state-specific considerations for cloud solutions architects seeking sponsorship in New Jersey?
New Jersey's concentration of Fortune 500 companies in finance and life sciences means cloud architects often work on regulated infrastructure, which can shape job requirements around compliance frameworks like HIPAA and SOC 2. The state's proximity to New York City gives employers access to a large international talent pool, and several New Jersey universities, including Rutgers and NJIT, feed candidates into cloud computing roles, sometimes through OPT or STEM OPT authorization before employer sponsorship begins.
What is the prevailing wage for sponsored cloud solutions architect jobs in New Jersey?
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.