Technical Solutions Architect Visa Sponsorship Jobs in New Jersey
Technical solutions architect visa sponsorship jobs in New Jersey are concentrated in the state's major tech and financial services corridors, with employers like Johnson & Johnson, Cognizant, and Prudential Financial actively hiring in cities like Parsippany, Princeton, and Jersey City. New Jersey's proximity to New York City makes it a strong market for architects bridging enterprise infrastructure and client-facing solutions.
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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.
Technical Solutions Architect Job Roles in New Jersey
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Search Technical Solutions Architect Jobs in New JerseyTechnical Solutions Architect Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for technical solutions architects in New Jersey?
Major sponsors in New Jersey include Cognizant, Infosys, Tata Consultancy Services, Prudential Financial, Johnson & Johnson, and Merck. Consulting firms with large NJ delivery centers, particularly those serving pharma and financial services clients, file H-1B visa petitions for solutions architects regularly. DOL LCA disclosure data shows these firms among the most active sponsors for senior technical roles in the state.
Which visa types are most common for technical solutions architect roles in New Jersey?
The H-1B is by far the most common visa category for technical solutions architects in New Jersey, given the role's clear specialty occupation classification requiring a bachelor's degree or higher in computer science, information systems, or a related field. Some candidates also enter on L-1A or L-1B visas through intracompany transfers, particularly at multinational consulting firms with New Jersey offices.
Which cities in New Jersey have the most technical solutions architect sponsorship jobs?
Parsippany-Troy Hills, Princeton, and Jersey City account for a large share of technical solutions architect openings in New Jersey. Jersey City's financial district draws fintech and enterprise software employers. Princeton and Parsippany serve as headquarters hubs for pharma and professional services firms. Newark and Basking Ridge also have meaningful concentrations of enterprise technology roles tied to telecom and insurance sectors.
How to find technical solutions architect visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search technical solutions architect roles in New Jersey without sorting through employers who won't sponsor. Because the role sits at the intersection of sales engineering and enterprise architecture, filtering by both job title and sponsorship status on Migrate Mate helps surface the most relevant openings from companies actively filing H-1B petitions in the state.
Are there any state-specific considerations for technical solutions architects seeking visa sponsorship in New Jersey?
New Jersey's concentration of pharmaceutical, financial services, and telecom employers shapes the skills most in demand for sponsored solutions architect roles. Candidates with experience in cloud migration, SAP, or Salesforce ecosystems are frequently targeted by NJ-based sponsors. The state also has a strong pipeline from universities like Rutgers and NJIT, which means employers familiar with OPT-to-H-1B transitions make up a meaningful share of local sponsors.
What is the prevailing wage for sponsored technical 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.