Solutions Architect Jobs in New Jersey
Solutions Architect jobs in New Jersey are among the most active in the mid-Atlantic region, with demand concentrated in enterprise technology, financial services, healthcare IT, and telecommunications at every level from associate to principal architect. The heaviest hiring clusters around Jersey City, Princeton, and Parsippany, where firms like Cognizant, Johnson & Johnson, and Prudential Financial maintain large technology operations. Cloud architecture, cybersecurity integration, and enterprise application modernization are the specialties drawing the most consistent attention from New Jersey hiring teams. Find a role that fits below and apply directly.
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We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
- Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
- Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
- Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
- Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
- Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
- Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
- Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
- Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
- Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
- Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
- Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
- Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
- Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
- Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
- Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
- Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
- Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
- Develop and maintain CI/CD pipelines and infrastructure deployment processes.
- Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
- Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
- Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
- Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
- Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
- Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
- Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
- Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
- Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
- Provide technical leadership and mentoring to developers working within the architecture.
We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.
This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.
The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.
Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.
Responsibilities
- Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
- Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
- Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
- Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
- Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
- Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
- Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
- Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
- Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
- Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
- Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
- Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
- Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
- Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
- Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
- Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
- Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
- Develop and maintain CI/CD pipelines and infrastructure deployment processes.
- Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
- Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
- Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
- Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
- Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
- Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
- Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
- Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
- Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
- Provide technical leadership and mentoring to developers working within the architecture.
See All 29 Solutions Architect Jobs in New Jersey
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Find Solutions Architect JobsSolutions Architect Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Solutions Architect Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Staffing & Recruiting
- Insurance
- Science & Research
- Consulting & Professional Services
What New Jersey Employers Look For
The qualifications that appear most often in solutions architect jobs across New Jersey.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Hands-on experience designing and deploying solutions on AWS, Azure, or Google Cloud
- Proficiency with enterprise architecture frameworks such as TOGAF or Zachman
- Strong background in systems integration, API design, and microservices architecture
- Excellent communication skills for presenting technical designs to non-technical stakeholders
- Relevant vendor certifications such as AWS Certified Solutions Architect or Microsoft Azure Solutions Architect
Solutions Architect Jobs in New Jersey: Frequently Asked Questions
How do you become a solutions architect in New Jersey?
Becoming a solutions architect in New Jersey typically starts with a bachelor's degree in computer science, information technology, or engineering, followed by several years in software development, systems engineering, or IT infrastructure roles. New Jersey does not require a state-issued license for this role. Employers here consistently look for cloud certifications from AWS, Microsoft, or Google, along with demonstrated experience leading architecture decisions on enterprise-scale projects.
Which companies hire solutions architects in New Jersey?
Employers hiring solutions architects in New Jersey right now include Amazon Web Services, AIG, and Jobot, based on current listings on Migrate Mate as of August 2026. New Jersey's concentration of global pharmaceutical, financial services, and telecommunications headquarters means openings often come with enterprise-scale scope and significant cross-functional responsibility.
Which New Jersey cities have the most solutions architect jobs?
The cities with the most solutions architect openings in New Jersey are Jersey City, Hoboken, and Trenton. Jersey City's proximity to New York financial institutions drives demand there, while Princeton and Parsippany attract openings from the large corporate campuses and technology consultancies that anchor those corridors, making both suburban markets consistently active beyond the waterfront metro.
Are there remote solutions architect jobs in New Jersey?
Yes, and more than most fields. Solutions architect work is largely desk-based and design-focused, making it well suited to remote arrangements. About 64% of solutions architect openings tied to New Jersey are remote or hybrid as of August 2026. The phases most commonly done remotely are discovery, documentation, and stakeholder presentations, while on-site presence is more often required during implementation kickoffs or data center assessments.
How can I get hired as a solutions architect in New Jersey with little or no experience?
The most realistic entry path is moving laterally from a junior developer, systems administrator, or cloud engineer role at a New Jersey technology consultancy or enterprise IT department. Large New Jersey employers in pharma and financial services frequently hire associate or junior architect candidates who hold a current cloud certification and can show a portfolio of architecture diagrams or capstone projects. Targeting rotational technology programs at companies with major New Jersey campuses gives candidates structured exposure to architecture work before holding the title.
Where can I find and apply to solutions architect jobs in New Jersey?
You can find and apply to solutions architect jobs in New Jersey on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, identify the ones that fit your background and preferred location, and apply directly to those positions.
See All 29 Solutions Architect Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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