Role at a glance
- Job function
-
Software Engineering & IT Solutions Architecture
- Salary
- Not Disclosed
- Location
- Pune Maharashtra India
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Senior Level Experience: 13-15+ Years
Spotted an issue?
We’ll check it against the original posting.
Role Summary
This Senior Solution Architect Lead role drives architecture, design, and delivery of strategic Regulatory Reporting solutions on the RHOO (RegHub on Olympus) platform. The role focuses on Big Data, real-time streaming, cloud, and AI/GenAI solutions for scalable regulatory reporting platforms.
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.
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Senior architecture lead requiring 8+ years of Java development, streaming and big data architecture, cloud and DevOps skills, GenAI/LLM application experience, and regulatory reporting or capital markets domain experience.
Required
- 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
- Strong proficiency in Python and AI application development
Preferred
- Experience implementing AI solutions within regulated financial environments
- Exposure to Regulatory Technology (RegTech) platforms
- Experience driving enterprise-wide data modernization and AI transformation initiatives
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
- Understanding of Trade Lifecycle Events, Order & 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.
Preferred Qualifications
- Experience implementing AI solutions within regulated financial environments.
- Exposure to Regulatory Technology (RegTech) platforms.
- Experience driving enterprise-wide data modernization and AI transformation initiatives.
------------------------------------------------------
Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.