Mentor team members through code reviews and design discussions while escalating technical risks and control gaps.
Required Qualifications & Skills
Brings 5+ years of professional experience in software development and data engineering, along with a bachelor's degree in computer science, software engineering, data science, information systems, or equivalent practical experience.
Demonstrates advanced Python skills, including object-oriented programming and frameworks such as FastAPI, Flask, Pandas, NumPy, PyTorch, TensorFlow, or LangChain.
Writes advanced SQL and optimizes queries, indexing, and data models across relational and distributed databases.
Builds and operationalizes AI and generative AI models, including prompt workflows, embeddings, and large language model orchestration, in production settings.
Applies software engineering practices such as Git version control, CI/CD pipelines, automated testing, Docker containerization, and agile methodologies.
Communicates complex technical and AI concepts clearly to non-technical stakeholders and senior leadership while managing expectations across cross-functional teams.
Analyzes and prioritizes dynamic requirements while managing multiple deliverables in a fast-paced environment.
Beneficial Skills & Qualifications
Builds interactive dashboards and reporting solutions using Tableau or equivalent business intelligence tools.
Works with distributed query engines such as Starburst, Trino, or Presto, and modern data lake architectures.
Explores Google Cloud Platform data services, Google Agent Development Kit, or other enterprise AI agent development platforms.
Understands model validation, data lineage, role-based access control, and enterprise governance frameworks.
What We Offer
Join a team where your AI and data engineering expertise directly shapes how Citi builds intelligent, production-ready solutions.
Work in a hybrid arrangement with 3 days in the office and 2 days working remotely each week.
Build and deploy AI, machine learning, and data engineering solutions that solve complex, real-world business problems.
Collaborate with technology and business teams across the organization on high-impact projects.
Access learning and development opportunities that deepen your expertise across modern AI and data technologies.
Benefit from financial wellbeing resources that support long term career and personal goals.
Grow your influence through mentorship opportunities and technical leadership within the team.
Apply now to build the AI and data solutions that power Citi's next generation of technology.
Job Family Group
Risk Management
Job Family
Model Development and Analytics
Time Type
Full time
- Most Relevant Skills
- Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
- 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.
