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Salary
$121k – $182k per year
Location
Remote/Hybrid (Rutherford, United States)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 23, 2026. First seen by Alion on Sep 23, 2026. Citi scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Citi is one of the largest banks in the world, tracing its lineage to the City Bank of New York founded in 1812 and taking its modern shape through the 1998 merger that created Citigroup. Its most distinctive asset is a cross-border payments and treasury network unmatched by any competitor, moving trillions of dollars a day for multinational corporations, governments and other banks across roughly ninety countries. Alongside that institutional franchise it runs markets and investment banking, wealth management and a United States personal bank, and has spent recent years simplifying itself by exiting consumer operations across Asia, Europe and Latin America.

Job Summary

We 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.

Responsibilities

  • Design, 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.

  • 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.

  • Build 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.

  • 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.

  • Ensure data quality, integrity, and security throughout the entire data lifecycle.

  • 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.

Qualifications

Required:

  • 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agentsinto application contexts

  • Minimum 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.

  • Hands-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.

  • Proven experience developing andautomating microservice integrations to support data-intensive applications.

  • Proficiency in at least one programming language commonly used for data analytics, engineering, such asPython or Scala.

  • Strong SQL skills and experience with various relational databases.

  • Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.

  • Excellent communication, collaboration, and problem-solving skills.

Preferred:

  • Experience with cloud-based Big Data platforms (e.g.,Cloudera, Databricks, AWS, Azure, GCP).

  • Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces.

  • Practical experience applying AI/ML techniques to solve real-world business problems.

  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).

  • 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 in Computer Science, Engineering, or a related field.

  • Master’s degree is a plus.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Rutherford New Jersey United States

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Primary Location Full Time Salary Range:

$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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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Anticipated Posting Close Date:

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Automated Processing and AI

We 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.

Importantly, 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.

Illinois residents - AI Notice and Right

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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.

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