{"id":1977889,"url":"https://alion.io/job/citi-senior-platform-engineer-pythonai-assistant-vice-president","title":"Senior Platform Engineer (Python/AI) - Assistant Vice President","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":100,"open_postings":352,"ghost_share":0.009,"stale_share":0.003,"repost_share":0.097,"time_to_fill_p50_days":10,"computed_at":"2026-10-10T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"head","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":24000,"max_usd":62000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":196},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Google ADK","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"C++","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-10-06T22:03:12Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T01:57:44Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Role Overview\n\nJoin a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models.\nWe are seeking a hands-on senior engineer to be a key contributor to this transformation. In this role, you will work closely with quantitative analysts and key stakeholders to understand and shape high-impact use cases and collaborate within a talented engineering team to design, build, and deploy the generative AI platform that brings this vision to life.\nKey Responsibilities\nTake end-to-end ownership of discrete platform modules and drive them to completion, exercising sound judgement and initiative to navigate ambiguity and drive progress independently, with minimal supervision.\nBuild proofs-of-concept and working prototypes to validate technical approaches early, iterating quickly based on stakeholder feedback in a fast-moving, discovery-driven environment.\nDesign, develop, and ship production-grade Python components for the agentic AI platform - orchestration pipelines, RAG systems, LLM integrations, and MCP-based tool interfaces. \nChampion engineering best practices - clean code, automated testing, CI/CD, logging, and monitoring \nBuild and maintain secure integrations with internal data sources, external APIs, and LLM providers in compliance with Citi's data governance and security standards \nActively invest in self-learning to keep pace with the rapidly evolving GenAI and LLM landscape, bringing emerging tools and techniques to the team. \nQualifications: Graduate\nMust-Haves: \nExtensive Software Engineering Experience: 8-12 years of hands-on experience designing, building, and shipping complex, scalable software systems to production. \nExpertise in Python: Deep proficiency in Python and its ecosystem of libraries for backend development and data processing. \nGenerative AI Knowledge : An appetite to learn and apply GenAI concepts such as LLMs, RAG, and MCP, and agentic platforms such as Google ADK, with some evidence of prior exploration in these areas being a plus. \nBackend & Systems Fundamentals: Hands-on experience with REST APIs, SQL/databases, and Unix-based as well as containerized environments \nTechnical Influence: Demonstrated ability to contribute to technical direction and champion best practices within an engineering team. \nExcellent Communication: Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders and to translate business needs into concrete technical requirements. \nGlobal Collaboration: Demonstrated ability to work effectively with geographically distributed teams across multiple time zones. \nNice-to-Haves:\nBroader Language Proficiency: Experience with Java/C++ in addition to Python. \nFull-Stack Experience: Familiarity with front-end technologies and developing user interfaces for technical workflows. \n Financial Domain Knowledge: Experience in the financial services industry, particularly in the context of quantitative finance, risk management, or Model Risk Management (MRM). \n Familiarity with Model Development: Understanding of the market and/or credit risk model development lifecycle (e.g., for PD, LGD, EAD models) and associated regulatory requirements (e.g., SR 11-7, CCAR, CECL, etc.). \nRegulated Environments: Experience building auditable and compliant software within a highly regulated environment. \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":4812,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Artificial Intelligence","Financial Services","Payment Processing & Gateways","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-10-06T22:03:12Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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