Senior Solution Architect Lead

Senior Solution Architect Lead – AI, Big Data & Regulatory Reporting Experience: 13-15+ Years Domain: Regulatory Reporting | Big Data | Cloud | AI/ML | Enterprise Architecture | Capital Markets | RegTech Role Overview We are seeking a highly skilled Senior Solution Architect Lead to drive architecture, design, and delivery of strategic Regulatory Reporting solutions on the RHOO (RegHub on Olympus) platform. The role requires strong expertise in Big Data, Real-Time Streaming, Cloud technologies, and AI/GenAI solutions to build scalable, resilient, and future-ready regulatory reporting platforms. Key Responsibilities Define and lead end-to-end solution architecture for regulatory reporting platforms. Design scalable, low-latency, event-driven architectures using Kafka, Spark, Flink, and cloud-native technologies. Drive delivery of complex regulatory initiatives within aggressive timelines. Lead architecture governance, design reviews, performance optimization, and production readiness. Partner with Business, Compliance, Operations, and Technology stakeholders to translate regulatory requirements into technical solutions. Drive data quality, lineage, governance, and reporting controls across the platform. Lead and mentor engineering teams, providing technical direction and architectural guidance. Champion adoption of AI/ML, Generative AI, and Agentic AI to improve regulatory delivery, data quality, testing, and operational efficiency. Design and implement AI-powered solutions leveraging LLMs, RAG architectures, AI Agents, and vector-search technologies. Drive cloud adoption, DevOps automation, and engineering best practices. Required Skills & Experience Architecture & Engineering 8+ years of hands-on Java development experience. Strong expertise in Spring Boot, Microservices, REST APIs, and Distributed Systems. Experience designing low-latency streaming architectures using Kafka, Spark, Flink, and Hadoop ecosystem. Strong knowledge of MongoDB, NoSQL databases, Hive, Impala, Elastic Search, and Oracle. Experience with JMS, TIBCO, and real-time message processing. Strong understanding of CI/CD, DevOps, BitBucket, Jira, and release management processes. Experience with AWS (ECS, S3, CodePipeline, CodeBuild, CloudWatch), Docker, Kubernetes, and OpenShift. AI / GenAI Strong proficiency in Python and AI application development. Hands-on experience with LLMs including GPT, Claude, Gemini, and similar models. Experience building AI Agents using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks. Expertise in RAG architectures, embeddings, vector databases, and semantic search. Experience with Pinecone, Chroma, FAISS, or equivalent vector databases. Knowledge of prompt engineering, tool calling, workflow orchestration, and MCP integrations. Experience with LoRA/QLoRA fine-tuning and Hugging Face ecosystem. Domain & Leadership Experience delivering large-scale Regulatory Reporting or Capital Markets solutions.