Non-Model Application Developer (DART), Assistant Vice President

As a Model Developer at Citi, you will design, build, and deploy AI and machine learning models that turn complex data into production-ready solutions. Working across Python, SQL, and modern AI frameworks, you will partner with business and technology teams to translate real-world problems into scalable applications and data pipelines. Your work will shape how Citi applies artificial intelligence and data engineering to improve decision-making and streamline workflows across the organization.  

Responsibilities

• Design, build, and test scalable software applications using Python and SQL to support enterprise data and AI initiatives.
• Develop and integrate AI, generative AI, and machine learning models, including agentic frameworks and predictive capabilities, into production workflows.
• Architect and optimize complex SQL queries, stored procedures, and data models to extract and analyze large-scale datasets across distributed databases.
• Build reusable APIs, data ingestion pipelines, and automated services that streamline business processes and analytics.
• Automate data extraction, preprocessing, and feature engineering while identifying data quality issues and performance bottlenecks.
• Translate business requirements into technical specifications, architecture diagrams, and sprint deliverables in partnership with stakeholders.
• Lead solution demos, training sessions, and technical design walkthroughs for technical and non-technical audiences.
• 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.  

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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