Applications Development Sr Programmer Analyst

Citi • Rutherford, NJ

1d • $121,200 - $181,800

About The Position

Citi is seeking a highly motivated, experienced Senior Engineer for its Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This intermediate-level role designs, builds, and maintains robust, scalable applications and data pipelines and solutions for securely deploying AI agents, Big Data, Databricks, and AI technologies. The role supports business engagement and growth by developing next-generation data and analytics platforms.

The position focuses on developing enterprise-grade AI agents and data-intensive applications, supporting high-volume ELT/ETL processes, and automating microservice integrations. It also involves deploying generative AI agents using Google ADK and Google Flash 2.5+ LLMs, integrating agentic AI tools, and contributing to team data engineering practices. The role requires assessing business risks, protecting the firm's reputation and assets, complying with applicable laws and policies, and escalating and reporting control issues transparently. Other job-related duties may be assigned as required.

Requirements

• 5–8 years of overall experience in large-scale application development, with recent experience in high-volume ELT/ETL processes using PySpark.
• Experience with agentic AI development using YAML, JSON, FastAPI or Spring Boot, Google ADK, and LLM integrations; experience with Devin.AI or GitHub Copilot and integrating models via platforms such as MCP using advanced prompt engineering.
• Proven experience developing and automating microservice integrations for data-intensive applications.
• Proficiency in at least one programming language commonly used in data analytics or engineering, such as Python or Scala.
• Strong SQL skills and experience with relational databases.
• Excellent communication, collaboration, and problem-solving skills.
• Bachelor's degree, university degree, or equivalent experience.

Nice To Haves

• Practical experience applying AI/ML techniques to real-world business problems.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with cloud-based Big Data platforms such as Cloudera, Databricks, AWS, Azure, or GCP.
• Experience with front-end technologies such as React or Angular.
• Experience in data engineering within banking retail products, such as Cards, Mortgage, Deposits, or Wealth Management.
• Relevant industry certifications, such as AWS Certified Big Data - Specialty or Azure Data Engineer Associate.
• Master's degree.

Responsibilities

• Design, develop, and maintain scalable applications and enterprise-grade AI agents, supporting high-volume ELT/ETL processes using technologies including Python, FastAPI, Java, Spring Boot, microservices, PySpark, Kafka, and Databricks.
• Build and deploy generative AI agents using Google's ADK and Google Flash 2.5+ LLMs for application automation, insights, and workflow support using human-in-the-loop architecture.
• Develop, deploy, and automate microservice integrations for data-intensive applications, ensuring scalability, resilience, and maintainability with cloud-native infrastructure, OpenShift or Kubernetes architecture, and CI/CD pipelines.
• Integrate and use agentic AI tools such as Devin.AI and GitHub Copilot, and platforms such as MCP, using advanced prompt engineering to improve development and operational efficiency.
• Contribute to continuous improvement of team data engineering processes, standards, and best practices.
• Assess risk in business decisions and consider the firm's reputation, clients, and assets while driving compliance with applicable laws, rules, and regulations.
• Adhere to policy, apply sound ethical judgment, and transparently escalate, manage, and report control issues.

Benefits

• Medical, dental, and vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off, including vacation, sick leave, and paid holidays
• Eligible employees may receive discretionary and formulaic incentive and retention awards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level