We are looking for a highly experienced Solution Architect with 15+ years of overall IT experience to provide end-to-end technical leadership, solution architecture, and delivery guidance across the project.

Primary Skills :

- 15+ years of overall IT experience, with significant experience in Solution Architecture / Technical Architecture roles.

- Strong experience in enterprise solution architecture and system design.

- Extensive experience with microservices, distributed systems, and modern application architectures.

- Strong knowledge of API design, REST APIs, integration patterns, and enterprise integrations.

- Strong experience designing and implementing solutions on AWS, Azure, and/or GCP.

- Strong understanding of modern architecture patterns, principles, and best practices.

- Strong hands-on experience with AI, Generative AI, LLM-based applications, and Agentic AI.

- Experience designing or implementing AI agents, agent orchestration, AI workflows, tool integration, and enterprise AI solutions.

- Understanding of integrating AI/ML capabilities with enterprise applications, APIs, data platforms, and cloud services.

- Experience with databases, data integration, messaging, and enterprise application architecture.

- Strong understanding of security, scalability, availability, performance, resiliency, and observability.

- Experience with CI/CD, DevOps practices, and modern software engineering methodologies.

- Ability to assess existing architectures and recommend practical improvements.

- Strong analytical, troubleshooting, and problem-solving skills.

Responsibilities :

- Provide end-to-end solution architecture and technical leadership for the project.

- Take ownership of the overall technical solution, architecture decisions, technology choices, and technical roadmap.

- Understand business requirements and translate them into scalable, secure, maintainable, and enterprise-grade technical solutions.

- Provide day-to-day technical direction, guidance, and mentorship to developers and engineers.

- Review and validate technical designs, architecture documents, integration approaches, and implementation strategies.

- Drive architecture discussions and provide recommendations on technology choices, design patterns, integration approaches, and technical trade-offs.

- Design and evaluate solutions leveraging AI, Generative AI, and Agentic AI to improve business processes, automation, productivity, and application capabilities.

- Design and evaluate AI agents, agent orchestration, tool integration, LLM-based applications, AI workflows, and enterprise AI patterns.

- Evaluate opportunities to integrate AI capabilities with enterprise applications, APIs, data platforms, and cloud services.

- Work closely with development teams during implementation and provide hands-on technical support and guidance when required.