Gen AI Platform Engineer-Assistant Vice President

We are seeking a highly skilled and motivated GenAI Platform Engineer to design, implement, and manage the infrastructure and pipelines that support our generative AI initiatives. The ideal candidate will have a strong background in DevOps practices, combined with expertise in Python and data-intensive technologies like Kafka, Spark, and Redis. You will be responsible for ensuring the reliability, scalability, and efficiency of our AI/ML workflows, from data ingestion and model training to deployment and monitoring. Key Responsibilities * Infrastructure as Code (IaC): Design, build, and maintain scalable, secure, and resilient infrastructure for GenAI applications using modern IaC tools and practices. * CI/CD for MLOps: Develop and manage robust CI/CD pipelines for the complete machine learning lifecycle, including data processing, model training, validation, deployment, and monitoring. * Data Pipeline Management: Engineer and operate high-throughput, real-time data pipelines using technologies like Apache Kafka and Spark to feed our GenAI models. * Performance and Caching: Implement and manage distributed caching solutions using Redis to ensure low-latency performance for our AI services. * Automation: Automate all aspects of the infrastructure and software delivery lifecycle to improve speed and reliability. * Collaboration: Work closely with data scientists, software engineers, and security teams to create a seamless and secure development and production environment. * Monitoring & Reliability: Implement comprehensive monitoring, logging, and alerting solutions to ensure the health and performance of the GenAI platform. Proactively troubleshoot and resolve infrastructure and pipeline issues. * Security: Embed security best practices into the CI/CD pipeline and infrastructure, ensuring compliance with Citi's strict security standards. Required Skills: * Programming: Strong proficiency in Python for scripting, automation, and application development. * DevOps & CI/CD: Extensive experience with DevOps principles and tools. Proven ability to build and manage complex CI/CD pipelines (e.g., using Jenkins, GitLab CI, Tekton, or similar). * Data Technologies: Hands-on experience with distributed data processing and streaming platforms, specifically Apache Spark and Apache Kafka. * In-Memory Data Stores: Solid experience with Redis, including its use for caching, session management, and as a message broker. * Containerization: Deep understanding of container technologies like Docker and container orchestration platforms such as Kubernetes or OpenShift. * Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Preferred Skills: * GenAI & MLOps: Experience with the lifecycle of Generative AI models (e.g., LLMs) and familiarity with MLOps principles and tools. * Cloud Platforms: Experience with public or private cloud platforms (e.g., AWS, GCP, Citi Internal Cloud). * Observability & Monitoring Tools: Familiarity with observability and monitoring tools like Prometheus, Grafana, Splunk, or the ELK stack. * Financial Services: Experience working in the financial services industry is a plus but not required. * Problem-Solving: Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment. Education: * Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. \------------------------------------------------------ ## Job Family Group: Technology \------------------------------------------------------ ## Job Family: Applications Development \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Most Relevant Skills Please see the requirements listed above. \------------------------------------------------------ ## Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ 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.