Application Production Support Engineer - Generative AI Tools- Assistant Vice Presiedent

Application Production Support Engineer - Generative AI Tools- Assistant Vice President Location: Pune, Maharashtra, India Job Type: On‑Site/Resident Posted: Jun. 15, 2026 Job Overview Provide front-line technical support: Diagnose and resolve production issues related to our generative AI applications, including performance bottlenecks, API errors, data inconsistencies, and infrastructure problems. Monitor application health: Utilize monitoring tools and dashboards to track key metrics, identify anomalies, and proactively address potential issues before they impact users. Incident Management: Follow established incident management procedures to document, elevate, and resolve production incidents, ensuring timely communication with stakeholders. Collaborate with engineering teams: Work closely with development and infrastructure teams to identify the root cause of issues, implement fixes, and prevent future occurrences. Develop and maintain documentation: Create and update technical documentation, including runbooks, knowledge base articles, and troubleshooting guides. Automate support tasks: Identify opportunities to automate repetitive tasks and improve support efficiency through scripting and tooling. Participate in on‑call rotation: Provide on‑call support on a rotational basis to ensure 24/7 coverage for critical applications. Continuous Improvement: Contribute to the continuous improvement of our support processes and tools by identifying areas for optimization and implementing best practices. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 8–13 years of experience in application production support or a related role. Strong understanding of software development lifecycle and DevOps principles. Experience supporting cloud‑based applications, preferably on AWS, Azure, or GCP. Change Management, Incident Management, Problem Management, Stakeholder Management. Proficiency in at least one scripting language (e.g., Python, Bash). Familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana). Excellent problem‑solving and analytical skills. Strong communication and collaboration skills. A passion for AI and machine learning. Bonus Points Experience with generative AI models and algorithms (e.g., GANs, VAEs, Transformers). Knowledge of MLOps principles and practices. Experience with containerization technologies (e.g., Docker, Kubernetes). Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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. #J-18808-Ljbffr Citi