Sr. AI/Python Engineer

Citi; New York (NY); Hybrid; USD 114,000 - 171,000; Full time

Job summary

Citi in Tampa, FL is seeking a Senior AI/Python Engineer to design and scale ML systems that power global finance platforms. You will own end-to-end ML pipelines, collaborate with data scientists and software engineers, and drive deployment of production-grade AI solutions.

This VP-level role emphasizes architectural leadership, ML lifecycle management, and strong Python expertise, with a hybrid work setup and competitive compensation in the Citi technology organization.

Qualifications

• 6+ years building large-scale ML solutions with leadership.
• Proficient in Python; experience with Jupyter scripting.
• MLOps expertise and ML lifecycle management.
• Core ML frameworks: scikit-learn, Keras, TensorFlow, PyTorch.
• NLP & Generative AI: RAGAs, DsPy, LLMs.
• Data engineering: Kafka, PySpark, Hive, Hadoop, HDFS.
• Databases: Oracle, MySQL, PostgreSQL; MongoDB.
• Web tech: FastAPI/Flask; NGINX.

Responsibilities

• Architect ML systems and pipelines across enterprise scale.
• Lead deployment of DS models into core applications.
• Collaborate with data scientists, engineers and leaders.
• Ensure ML lifecycle from requirements to deployment and operation.
• Drive governance, risk, and compliance in ML solutions.

Skills

ML leadership

Agile methodologies

Python

Jupyter

MLOps

Education

Bachelor's or Master's in CS/Engineering

Tools

MLFlow

Dagster

Vertex AI

Docker

OpenShift

Amazon ECS

Git

Jenkins

Tekton

Job description

Sr. AI/Python Engineer

Job Req Id:

26994454

Location(s):

Tampa, Florida, United States

Job Type:

Hybrid

Posted:

Sep. 16, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Engineer the Future of Global Finance

At Citi, our Tech team doesn’t just support finance—we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. We are seeking a skilled and innovative Vice President-level Machine Learning Systems Engineer with extensive ML Ops experience to join our team and lead the charge in building the next generation of intelligent financial systems.

Role Overview

In this senior tech lead role, you will be responsible for the architecture, construction, and maintenance of scalable backend systems that power our machine learning initiatives. You will own the deployment of data science (DS) models and design robust, enterprise-grade pipelines that enable the seamless integration of DS solutions into our core applications.

You will act as the crucial bridge between data science and production-ready systems, working closely with data scientists, front-end engineers, and business leaders. If you are passionate about operationalizing complex models, creating highly reliable backend services, and defining the lifecycle for data science workflows at an enterprise scale, this role is a perfect fit.

Key Responsibilities & Competencies

• Strategic Impact & Architectural Leadership: Take ownership of the ML systems architecture. Proactively assess and resolve complex, high-impact challenges by designing and evaluating multifaceted alternatives. Drive significant value by leading the development and deployment of robust analytical frameworks and ML pipelines that align with strategic business goals.

• Leadership & Influence: Exercise formal and informal leadership to foster a culture of technical excellence. Consistently mentor and develop emerging talent, guiding them in best practices for building scalable and resilient systems. Influence strategic decisions and drive project success through expert guidance, counsel, and facilitative leadership across significant, global projects.

• End-to-End ML Systems Delivery: Direct comprehensive analytics and ML initiatives designed to resolve critical business challenges. Orchestrate the entire system change lifecycle, from initial requirements gathering and project scoping through to implementation, deployment, and operational support.

• Stakeholder Engagement & Business Liaison: Demonstrate exceptional communication and diplomacy skills. Engage effectively with cross-functional stakeholders and business leaders to articulate complex technical concepts, negotiate solutions, and align objectives. Drive critical communication channels between business and IT to ensure strategic alignment.

• Operational Excellence & Quality Assurance: Directly impact the performance and operational throughput of multiple teams. Assure the quality of work output for individual contributions and cross-functional teams. Execute advanced data mining and analytical procedures to optimize operational processes and elevate data integrity standards.

• Risk Stewardship & Compliance: Demonstrate proactive risk assessment in all decisions, prioritizing the firm's reputation and the integrity of its assets. Ensure stringent adherence to applicable laws, regulations, and corporate policies, exercising astute ethical judgment in all business practices.

Required Skills & Technical Qualifications

• Experience: 6+ years of professional experience implementing data-intensive, large-scale ML solutions, with a proven track record of technical leadership and using agile methodologies.

• Programming Languages:

  • Primary: Expert-level Python, Jupyter Notebook Scripting

  • Secondary: MLOps

• Machine Learning Frameworks & Libraries:

  • Core ML: Scikit-learn, Keras, TensorFlow, PyTorch

  • Advanced NLP & Generative AI: RAGAs, DsPy, Large Language Models (LLM)

• MLOps & ML Lifecycle Management:

  • Platforms: MLFlow, Dagster, Google Cloud Vertex AI

• Database Management Systems:

  • Relational: Oracle, MySQL, PostgreSQL

  • NoSQL: MongoDB

• Infrastructure & DevOps:

  • CI/CD & DevOps Tooling: UDeploy, Harness, Tekton, Jenkins, Maven

  • Version Control: Git

  • Containerization & Orchestration: Docker, OpenShift, Amazon ECS

• Data Engineering & Processing:

  • Messaging & Asynchronous Communication: Kafka

  • ETL & Data Warehousing: Sqoop, PySpark, Hive, Hadoop, HDFS

  • File Formats: Avro, Parquet, Iceberg

• Web Technologies:

  • Web Frameworks: FastAPI, Flask

  • Web Servers & Reverse Proxies: NGINX

Education

• Bachelor’s or Master’s degree in a technology-related discipline (e.g., Computer Science, Computer Engineering) or equivalent professional experience.

Who We Think Will Be a Great Fit

A steadfast dedication to continuous learning and a genuine passion for business are paramount. We are seeking a senior professional who brings a global perspective to the future of banking and is eager to make an impact at the corporate level. This role is ideally suited for an ambitious leader with a relentless drive to succeed in a fast-paced, dynamic environment, and who is inherently curious about how technology can revolutionize finance.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$113,840.00 - $170,760.00

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.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

Anticipated Posting Close Date:

Sep 22, 2026

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.

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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.

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