AI Solution Architect.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm operating at the intersection of finance, accounting, and technology. They are committed to driving digital transformation for their clients by leveraging cutting-edge innovation and scalable enterprise solutions. The organization fosters a collaborative culture that values continuous learning and professional growth.
About the role.
We are seeking an experienced AI Solution Architect to lead the design and implementation of advanced artificial intelligence systems within a complex financial ecosystem. You will bridge the gap between traditional Java-based enterprise architecture and modern generative AI frameworks. This role focuses on building robust, scalable, and secure AI-driven applications that solve critical business challenges.
What you will do.
- Design and architect scalable AI solutions using Java and Spring Boot frameworks.
- Lead the development of GenAI and LLM-based applications, including Agentic AI and RAG architectures.
- Implement advanced retrieval strategies such as Graph and Hybrid Retrieval to enhance model performance.
- Oversee the end-to-end lifecycle of AI systems from design to production deployment.
- Optimize system performance through effective caching strategies and distributed systems design.
- Collaborate with cross-functional teams to integrate AI capabilities into existing financial platforms.
- Ensure high availability and reliability of services using Kubernetes and CI/CD pipelines.
- Mentor engineering teams on best practices for system design, data structures, and algorithms.
What you bring.
- 8–12 years of professional experience in software engineering and system architecture.
- Expert-level proficiency in Java and the Spring Boot ecosystem.
- Strong understanding of Microservices architecture and distributed systems.
- Hands-on experience with GenAI, LLMs, Agentic AI, and RAG implementation.
- Proficiency in database management, including SQL and graph-based data structures.
- Solid experience with cloud-native technologies, Kubernetes, and CI/CD workflows.
- Deep knowledge of Data Structures and Algorithms (DSA) for high-performance computing.
- Proven ability to manage production-grade deployments in a hybrid work environment.
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