Applications Development Sr Programmer Analyst

We are seeking a highly motivated and experienced Senior Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable applications and data pipelines & solutions 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., * Design, develop, and maintain scalable applications and enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Java, SpringBoot, Microservices , PySpark, Kafka and Databricks ecosystem.

• Build 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.
• Develop, 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.
• Integrate 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.
• Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
• Appropriately 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.

Required:

• 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, FAST API or Spring boot, Google ADK, LLM integrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering.
• Proven experience developing and automating microservice integrations to support data intensive applications.
• Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.
• Strong SQL skills and experience with various relational databases.
• Excellent communication, collaboration, and problem-solving skills.

Preferred:

• Practical experience applying AI/ML techniques to solve real-world business problems.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP).
• Experience in Front-end technologies like React, Angular
• Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).
• Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree is a plus.

$121 200,00 - $181 800,00

In 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.