Applications Development Sr Programmer Analyst - Assistant Vice President
Citi
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Descrizione del lavoro
Citi is seeking a Principal Engineer to join the Retail and Wealth Risk Engineering team within Enterprise Risk Tech. You will design and build scalable data pipelines and AI-enabled solutions using PySpark, Databricks, and a cloud-native stack.
The role focuses on data quality, security, and leveraging cutting-edge AI tools to drive business growth. The ideal candidate has extensive Python and PySpark experience, strong data modeling knowledge, and the ability to lead complex ELT/ETL
Competenze
- 8+ years of experience in large-scale application development with recent platform deployment for AI agents
- 5+ years leading Python/PySpark engineering building ELT/ETL in Databricks ecosystem
- Hands-on with YAML/JSON/FAST API or Spring Boot, Google ADK, LLM integrations
- Experience automating microservice integrations for data-intensive apps
- Proficiency in Python or Scala and strong SQL with relational DBs
- Deep understanding of data modeling, data warehousing, Data Mesh, and federation
- Excellent communication and collaboration skills
Mansioni
- Design, develop, and maintain scalable AI agent-enabled data pipelines
- Build and deploy GEN AI agents using Google ADK and LLMs for automation and insights
- Develop data federation layers for lambda/Data Mesh architectures
- Create microservice integrations with CI/CD using OpenShift/Kubernetes
- Apply advanced prompt engineering to enhance development and operations
- Ensure data quality, integrity, and security across the data lifecycle
- Contribute to engineering standards and best practices while managing risk and compliance
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
We are seeking a highly motivated and experienced Principal 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 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.
We are seeking a highly motivated and experienced Principal 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 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.
- 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 elevate, manage, and report control issues with transparency.
- 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into 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 the PySpark and Databricks ecosystem.
- Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, 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.
- Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
- Excellent communication, collaboration, and problem-solving skills.
- 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).
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Master’s degree is a plus.
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Technology
Applications Development
Full time
$94,300.00 - $141,500.00
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Please see the requirements listed above.
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For complementary skills, please see above and/or contact the recruiter.
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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.
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This job opening is for an existing job vacancy.
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