Experience: 10- 18 years
Job Summary / Your Role in a Nutshell:
We are looking for a hands-on Solution Architect with strong expertise in Java/JVM technologies, cloud platforms, and modern full-stack architecture. The candidate will design scalable enterprise solutions across AI, cloud, data, or digital product engineering while contributing to pre-sales, proposal development, and client delivery.
The role requires strong technical depth, executive presence, and the ability to independently drive client discussions and solutioning activities.
Key Responsibilities
Design scalable, secure, cloud-native solutions using Java, Spring Boot, microservices, APIs, and event-driven architecture.
Develop solution architectures and technology roadmaps aligned with business requirements.
Architect AI-enabled applications using LLMs, RAG, AI agents, and AI orchestration.
Lead RFP/RFI responses, proposal development, effort estimation, and technical presentations.
Engage with C-level stakeholders, present and defend solutions, and advise clients on technology decisions.
Support both pre-sales activities and hands-on, billable client engagements.
Drive architecture reviews, security, performance, cloud modernisation, and engineering best practices.
Mentor engineering teams and promote AI-assisted software development practices.
Required Skills & Qualifications
Bachelor's or master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
10–18 years of experience, including at least 5 years in an architecture role.
Strong
expertise in Java, Spring Boot, Spring Cloud, Hibernate/JPA, and full-stack application architecture.
Experience with JavaScript/TypeScript, React/Angular/Vue, and Node.js.
Hands-on experience with AWS, Azure, or Google Cloud Platform.
Strong knowledge of microservices, distributed systems, Kafka/RabbitMQ, APIs, databases, Docker, Kubernetes, and CI/CD.
Understanding of Generative AI, LLMs, RAG, agentic architectures, AI-SDLC, and enterprise security.
Excellent communication, solutioning, proposal development, and stakeholder management skills.
Key Expectations
Hands-on Architecture: Strong solutioning depth across AI, cloud, data, or digital product engineering.
Pre-Sales & Delivery: Flexibility to work across proposals and billable client engagements.
Ownership & Executive Presence: Ability to independently drive proposals, lead client discussions, and confidently engage with C-level stakeholders.
