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

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, escalate, 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. Change Management , Incdient management , Problem Managemet, Stakeholder management Experience supporting cloud-based applications, preferably on AWS, Azure, or GCP. 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).

Job Family Group: Technology

Job Family: Applications Support

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.

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