Java Solution Architect

Envision Technology Solutions; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Envision Technology Solutions is seeking an experienced Java Solution Architect with hands-on expertise in enterprise application architecture and AI/GenAI integrations. You will design scalable Java-based systems, define strategic roadmaps, and lead cross-functional teams through modern SDLC practices.

You will mentor developers, drive architecture governance, ensure security and performance, and evaluate emerging AI technologies to innovate enterprise solutions.

Qualifications

• Experience in designing and delivering enterprise Java applications.
• Proven ability to translate business requirements into technical architecture.
• Ability to lead SDLC processes and architecture governance.
• Experience integrating AI/GenAI capabilities into enterprise systems.

Responsibilities

• Design and architect enterprise-grade applications using Java and related technologies.
• Define solution architecture, technical roadmaps, and implementation strategies.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Integrate AI/ML and Generative AI capabilities into enterprise applications.
• Develop microservices architectures using Spring Boot and cloud-native tools.
• Lead design reviews, code reviews, and architecture governance.
• Ensure security, scalability, performance, and reliability of applications.
• Evaluate emerging AI technologies and identify opportunities for innovation.
• Mentor development teams and provide technical leadership across SDLC.

Skills

Java

Solution architecture

AI/GenAI integration

Mentoring teams

SDLC leadership

Tools

Spring Boot

Spring Cloud

Hibernate/JPA

Docker

CI/CD (Jenkins, GitHub Actions)

Terraform

Job description

Job Summary:

We are seeking an experienced Java Solution Architect with strong expertise in enterprise application architecture and hands‑on experience in Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning integrations.

Key Responsibilities:

• Design and architect enterprise-grade applications using Java and related technologies.
• Define solution architecture, technical roadmaps, and implementation strategies.
• Collaborate with business stakeholders, product owners, and engineering teams to translate business requirements into technical solutions.
• Integrate AI/ML and Generative AI capabilities into enterprise applications.
• Develop and implement microservices-based architectures using Spring Boot and cloud-native technologies.
• Lead technical design reviews, code reviews, and architecture governance.
• Ensure application security, scalability, performance, and reliability.
• Evaluate emerging AI technologies and identify opportunities for innovation.
• Mentor development teams and provide technical leadership throughout the SDLC lifecycle.

Required Technical Skills

• Spring Boot
• Spring Cloud
• Hibernate/JPA
• RESTful APIs
• Docker
• Jenkins, GitHub Actions, CI/CD Pipelines
• Infrastructure as Code (Terraform preferred)