Reflections Info Systems - Senior Solution Architect - Distributed Systems

Vista Info Systems; Kerala; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Vista Info Systems in Kerala, India seeks a highly experienced Solution Architect with 15+ years of IT leadership to provide end-to-end technical guidance, architecture, and delivery across complex projects. You will own the technical roadmap, mentor teams, and translate business requirements into scalable, secure, enterprise-grade solutions.

Expertise in microservices, AI, cloud platforms, and modern DevOps is essential.

Qualifications

• 15+ years of IT experience in solution/technical architecture.
• Strong background in microservices, distributed systems, and APIs.
• Experience with AI/Gen AI integrations and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Provide end-to-end solution architecture and technical leadership.
• Own architectural decisions, technology choices, and roadmap.
• Translate business requirements into scalable, secure enterprise solutions.
• Mentor developers and review designs and integration approaches.
• Design AI-enabled solutions and agent orchestration patterns.
• Collaborate with teams during implementation and provide hands-on support.

Skills

Years of experience

Solution architecture

Enterprise architecture

Microservices

API design

Cloud platforms

AI & Gen AI

Agentic AI

Security & observability

CI/CD & DevOps

Job description

Job Description

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.

(ref:hirist.tech)