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Senior Solution Architect Lead

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 15 days ago

No clicks

**Senior Solution Architect Lead – AI, Big Data & Regulatory Reporting** - Oversee AI-powered, real-time regulatory reporting platforms using cloud-native and streaming technologies. - Define end-to-end architecture, lead teams, and drive delivery of strategic regulatory initiatives. - 13+ years' experience, domain expertise in regulatory reporting, big data, cloud, AI/ML, and enterprise architecture. - Hands-on proficiency in Java, Spring Boot, Kafka, Spark, Flink, cloud adoption, and AI-powered solutions.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

Senior Solution Architect Lead

Apply (opens in new window)
Save

Job Req Id:

261002704

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Oct. 27, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

Senior Solution Architect Lead

Compensation

Not specified

City: Not specified

Country: India

Citi logo
Bulge Bracket Investment Banks

15 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**Senior Solution Architect Lead – AI, Big Data & Regulatory Reporting** - Oversee AI-powered, real-time regulatory reporting platforms using cloud-native and streaming technologies. - Define end-to-end architecture, lead teams, and drive delivery of strategic regulatory initiatives. - 13+ years' experience, domain expertise in regulatory reporting, big data, cloud, AI/ML, and enterprise architecture. - Hands-on proficiency in Java, Spring Boot, Kafka, Spark, Flink, cloud adoption, and AI-powered solutions.

Full Job Description

Senior Solution Architect Lead

Apply (opens in new window)
Save

Job Req Id:

261002704

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Oct. 27, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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 (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save