As a
Solutions Architect specializing in Java full-stack and AI-enabled engineering, you will lead the design of complex enterprise systems and partner directly with clients to translate business challenges into scalable, secure, and future-ready technical solutions. You'll define architectures, guide engineering teams, and shape the technical vision for high-impact initiatives. This role is ideal for a seasoned technologist who excels at system design, cross-functional collaboration, and applying AI to elevate both product capabilities and engineering outcomes.Responsibilities
- Lead end-to-end solution design for enterprise applications built on Java, Spring Boot, and modern front-end frameworks
- Partner directly with clients to understand business goals, uncover technical constraints, and architect solutions that balance innovation, scalability, and cost
- Define system architectures, integration patterns, data flows, and cloud deployment strategies
- Identify opportunities to embed AI/ML capabilities into solutions, including LLM-powered features, intelligent automation, and AI-assisted workflows
- Create architectural artifacts such as diagrams, reference architectures, and technical roadmaps
- Guide engineering teams through implementation, ensuring alignment with architectural standards and best practices
- Evaluate new technologies, frameworks, and AI tools to inform solution strategy
- Facilitate technical workshops, discovery sessions, and design reviews with client stakeholders
- Ensure solutions meet enterprise requirements for security, performance, reliability, and maintainability
- Mentor technical leads and engineers, fostering a culture of technical excellence and continuous improvement
Qualifications- 10+ years of professional software engineering experience, including deep expertise in Java full-stack development
- Proven experience designing and architecting complex distributed systems and enterprise applications
- Strong proficiency in Java, Spring Boot, microservices, and API-driven architectures
- Experience with modern front-end frameworks (React, Angular, or Vue) and how they integrate into enterprise ecosystems
- Hands-on experience integrating AI/ML services or designing AI-enhanced product capabilities
- Strong understanding of cloud platforms (AWS, Azure, or GCP), containerization, and orchestration (Docker, Kubernetes)
- Excellent communication and client-facing skills, with the ability to translate technical concepts into clear business value
- Experience leading technical discussions, workshops, and architectural decision-making
- Ability to balance hands-on technical depth with high-level solution strategy
This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship.
