Senior Solution Architect Lead

Overview

Lead the architecture, design and delivery of strategic Regulatory Reporting solutions on the RHOO (RegHub on Olympus) platform, with a focus on Big Data, real-time streaming, cloud and AI/GenAI.

What you'll do

• 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.

What you'll need

• 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 the 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.
• 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 the Hugging Face ecosystem.
• Experience delivering large-scale Regulatory Reporting or Capital Markets solutions.
• Understanding of Trade Lifecycle Events, Order and Execution processing, and financial messaging standards such as FIX, FpML and ISO20022.
• Strong stakeholder management and communication skills.
• Proven ability to lead teams and deliver strategic programs under tight regulatory timelines.
• Ability to align technology strategy with long-term business objectives.

Nice to have

• Experience implementing AI solutions within regulated financial environments.
• Exposure to Regulatory Technology (RegTech) platforms.
• Experience driving enterprise-wide data modernization and AI transformation initiatives.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.
• Experience: 13-15+ years.