{"id":3333617,"url":"https://alion.io/job/citi-senior-solution-architect-lead","title":"Senior Solution Architect Lead","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":557,"ghost_share":0.009,"stale_share":0.206,"repost_share":0.068,"time_to_fill_p50_days":9,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Bitbucket","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flink","optional":false},{"name":"Function Calling","optional":false},{"name":"Hadoop","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LoRA","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenShift","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"PEFT","optional":true}],"status":"closed","first_seen_at":"2026-10-27T12:49:48Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-03T13:09:23Z","board_verified":false,"closed_at":"2026-11-03T13:09:23Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Senior Solution Architect Lead - AI, Big Data & Regulatory Reporting\nExperience: 13-15+ Years\nDomain: Regulatory Reporting | Big Data | Cloud | AI/ML | Enterprise Architecture | Capital Markets | RegTech\nRole Overview\nWe 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.\nKey Responsibilities\nDefine and lead end-to-end solution architecture for regulatory reporting platforms.\nDesign scalable, low-latency, event-driven architectures using Kafka, Spark, Flink, and cloud-native technologies.\nDrive delivery of complex regulatory initiatives within aggressive timelines.\nLead architecture governance, design reviews, performance optimization, and production readiness.\nPartner with Business, Compliance, Operations, and Technology stakeholders to translate regulatory requirements into technical solutions.\nDrive data quality, lineage, governance, and reporting controls across the platform.\nLead and mentor engineering teams, providing technical direction and architectural guidance.\nChampion adoption of AI/ML, Generative AI, and Agentic AI to improve regulatory delivery, data quality, testing, and operational efficiency.\nDesign and implement AI-powered solutions leveraging LLMs, RAG architectures, AI Agents, and vector-search technologies.\nDrive cloud adoption, DevOps automation, and engineering best practices.\nRequired Skills & Experience\nArchitecture & Engineering\n8+ years of hands-on Java development experience.\nStrong expertise in Spring Boot, Microservices, REST APIs, and Distributed Systems.\nExperience designing low-latency streaming architectures using Kafka, Spark, Flink, and Hadoop ecosystem.\nStrong knowledge of MongoDB, NoSQL databases, Hive, Impala, Elastic Search, and Oracle.\nExperience with JMS, TIBCO, and real-time message processing.\nStrong understanding of CI/CD, DevOps, BitBucket, Jira, and release management processes.\nExperience with AWS (ECS, S3, CodePipeline, CodeBuild, CloudWatch), Docker, Kubernetes, and OpenShift.\nAI / GenAI\nStrong proficiency in Python and AI application development.\nHands-on experience with LLMs including GPT, Claude, Gemini, and similar models.\nExperience building AI Agents using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.\nExpertise in RAG architectures, embeddings, vector databases, and semantic search.\nExperience with Pinecone, Chroma, FAISS, or equivalent vector databases.\nKnowledge of prompt engineering, tool calling, workflow orchestration, and MCP integrations.\nExperience with LoRA/QLoRA fine-tuning and Hugging Face ecosystem.\nDomain & Leadership\nExperience delivering large-scale Regulatory Reporting or Capital Markets solutions.\nUnderstanding of Trade Lifecycle Events, Order & Execution processing, and financial messaging standards such as FIX, FpML, and ISO20022.\nStrong stakeholder management and communication skills.\nProven ability to lead teams and deliver strategic programs under tight regulatory timelines.\nAbility to align technology strategy with long-term business objectives.\nPreferred Qualifications\nExperience implementing AI solutions within regulated financial environments.\nExposure to Regulatory Technology (RegTech) platforms.\nExperience driving enterprise-wide data modernization and AI transformation initiatives.\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti 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.\nIf 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.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":4656,"description_truncated":false,"requirements":{"experience_years_min":13,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A 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