{"id":1144749,"url":"https://alion.io/job/citi-senior-python-engineer-applications-development-sr-programmer-analyst-assistant-vice-president","title":"Senior Python Engineer - Applications Development Sr Programmer Analyst - Assistant Vice President","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":244,"ghost_share":0,"stale_share":0,"repost_share":0.074,"time_to_fill_p50_days":11,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Rutherford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":121200,"max":181800,"currency":"USD","period":"year","gross":null,"usd_annual":181800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Devin","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"OpenShift","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-23T14:23:21Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T22:01:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe are seeking a highly motivated and experiencedPrincipal Engineer to join ourRetail and Wealth Risk Engineering team under theEnterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents,Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.\nResponsibilities\nDesign, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem.\n\nBuild and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.\n\nBuild and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.\n\nDevelop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.\n\nIntegrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.\n\nEnsure data quality, integrity, and security throughout the entire data lifecycle.\n\nContribute to the continuous improvement of data engineering processes, standards, and best practices within the team.\n\nAppropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency.\n\nQualifications\nRequired:\n8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agentsinto application contexts\n\nMinimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using thePySpark and Databricks ecosystem.\n\nHands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, includingDevin.AI or Github Copilot, and integrating models via platforms likeMCP using advanced prompt engineering.\n\nProven experience developing andautomating microservice integrations to support data-intensive applications.\n\nProficiency in at least one programming language commonly used for data analytics, engineering, such asPython or Scala.\n\nStrong SQL skills and experience with various relational databases.\n\nDeep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.\n\nExcellent communication, collaboration, and problem-solving skills.\n\nPreferred:\nExperience with cloud-based Big Data platforms (e.g.,Cloudera, Databricks, AWS, Azure, GCP).\n\nExperience with frontend technologies such as Angular or React JS for building data-driven application interfaces.\n\nPractical experience applying AI/ML techniques to solve real-world business problems.\n\nFamiliarity with containerization technologies (e.g., Docker, Kubernetes).\n\nExperience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).\n\nRelevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).\n\nEducation\nBachelor’s degree in Computer Science, Engineering, or a related field.\n\nMaster’s degree is a plus.\n\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nPrimary Location:\nRutherford New Jersey United States------------------------------------------------------\nPrimary Location Full Time Salary Range:\n$121,200.00 - $181,800.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.\n------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nAnticipated Posting Close Date:\n------------------------------------------------------\nAutomated Processing and AI\nWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.\nImportantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.\nIllinois residents - AI Notice and Right\n------------------------------------------------------\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":7060,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management","Lending","Payments","Capital Markets"],"lifecycle":[{"event":"open","at":"2026-09-23T14:23:21Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":11,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-09-24T00:32:48Z"},"pay":{"stated_usd_annual":181800,"is_top_pay":false},"html_url":"https://alion.io/job/citi-senior-python-engineer-applications-development-sr-programmer-analyst-assistant-vice-president","json_url":"https://alion.io/job/citi-senior-python-engineer-applications-development-sr-programmer-analyst-assistant-vice-president.json","meta":{"generated_at":"2026-09-24T00:32:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}