Amit Shukla

I am a Hands-on AI & Solution Architect with 15+ years of experience designing, modernizing, integrating and building enterprise applications across banking, automotive and e-learning domains.

My core expertise includes Java 8–21, Spring Boot, microservices, REST/SOAP APIs, Kafka, distributed systems, enterprise integration, AWS, Kubernetes, security and application modernization. I have worked on enterprise platforms for major banking organizations including U.S. Bank, UBS and Bank of America.

In my current work, I combine solution architecture with hands-on engineering. My responsibilities span requirements analysis, architecture and technology decisions, HLD/LLD, integration design, PoCs, critical-path coding, design and code reviews, testing, deployment, observability and production troubleshooting. I also have experience leading and mentoring engineering teams.

More recently, I have expanded my hands-on work into Generative AI and AI-enabled enterprise architecture, including Spring AI, RAG, LLM integration, structured AI outputs and provider-independent AI integration. I am also developing my expertise in bounded Agentic AI patterns, including tool/function calling, agent orchestration, MCP integration patterns, A2A concepts, human-in-the-loop controls, AI security, observability and evaluation.

I am particularly interested in roles where I can combine my strong Java and enterprise architecture background with modern AI capabilities rather than moving away from hands-on engineering.

I am interested in opportunities such as Hands-on Solution Architect, Java Solution Architect, AI Solution Architect, GenAI Solution Architect, AI Integration Architect, Java + AI Architect and Principal/Lead Engineering roles.

I am based in India and open to global remote, freelance and contract opportunities. I am comfortable collaborating with distributed international teams and overlapping working hours with U.S., UK/European and APAC time zones.

I enjoy solving complex architecture and integration problems and turning business requirements into secure, scalable and maintainable production solutions. My approach is practical: understand the requirements and NFRs first, make clear architecture and technology decisions, validate difficult areas through PoCs, remain hands-on with critical technical components, and work with engineering teams through implementation and production readiness.