Support Engineer (AI/ML & Platform Operations)

Workday, Inc.; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Workday, Inc. in Pune, India, seeks a customer-focused Support Engineer to drive incident resolution, RCA, and performance optimization across Workday’s enterprise platform and AI-driven workflows.

You will analyze system metrics, debug cloud-hosted services, review logs and traces, and collaborate with engineering and data science teams to implement prompt, data, and workflow improvements. Weekend on-call rotations apply.

Qualifications

• Minimum 3 years of experience in technical support engineering, platform operations, or escalation management for enterprise SaaS platforms.
• Minimum 2 years of hands-on experience reviewing, analyzing, or troubleshooting Large Language Model (LLM) pipelines, prompt/tool‑calling structures, or conversation traces/logs.
• Minimum 2 years of hands-on experience monitoring, debugging, or troubleshooting services on public cloud infrastructure (AWS, GCP, or Azure).
• Minimum 2 years of experience using programming languages or writing and executing SQL queries for data analysis and tuning.
• Minimum 2 years of experience troubleshooting operating systems (Linux or Windows) and cloud networking components.
• Willingness and ability to participate in scheduled weekend on‑call coverage rotations.

Responsibilities

• Apply operational knowledge of enterprise applications and workflows to validate AI logic and troubleshoot functional processing errors.
• Regularly review LLM outputs, AI conversation logs, and execution traces to identify edge cases and translate insights into prompts and workflows.
• Perform root-cause analysis on defects, bottlenecks, and execution failures using cloud telemetry tools.
• Debug enterprise AI workflows hosted on public clouds, isolating issues across model hosting services and APIs.
• Triage high-severity support queues, enforce SLAs, and participate in weekend on‑call rotations.
• Explain root causes and workarounds clearly to customer IT leaders during critical incidents.

Skills

LLM & AI troubleshooting

Cloud monitoring

SQL & data analysis

Programming (Python or Bash)

REST/XML APIs

Linux/Windows

On-call processes

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering

Tools

Kibana

Grafana

Datadog

Prometheus

Jira

ServiceNow

Salesforce

Job description

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

At Workday, we bring technical rigor, customer empathy, and a spirit of fun to enterprise software. Our support team underpins operational excellence across Workday's digital experience, AI/ML platform, and Agent Factory initiative. Workday’s Agent Factory is our internal engine that builds, trains, and deploys autonomous AI agents to execute complex HR and Finance workflows, including expense processing, hiring, and workforce scheduling. We partner with core engineering to eliminate bottlenecks, maintain high platform availability, and ensure system reliability for our global customer base.

About the Role

We are seeking a customer-focused Support Engineer to drive incident resolution, root-cause analysis (RCA), and performance optimization across Workday’s enterprise platform and autonomous AI agent workflows. In this high-visibility role, you will analyze system metrics, debug cloud-hosted ML service pipelines, inspect LLM orchestration layers, and manage critical customer escalations within strict SLAs. You will also partner directly with engineering and data science teams through feature iteration and optimization. A key part of this role involves hands‑on AI evaluation: analyzing LLM outputs, reviewing conversation logs, and digging into system traces to spot failure modes and translate those insights into prompt, data, and workflow improvements.

Key Responsibilities

• Enterprise SaaS & Functional Domain Expertise: Apply operational knowledge of enterprise applications and workflows to validate AI logic and troubleshoot functional processing errors.
• Hands‑On AI Evaluation: Regularly review LLM outputs, AI conversation logs, and execution traces to identify edge cases, hallucinations, and failure modes. Perform data labeling and translate diagnostic insights into actionable updates for prompts, workflows, and system logic.
• Technical Troubleshooting & RCA: Perform root-cause analysis on software defects, performance bottlenecks, and LLM agent execution failures using Kibana, Grafana, and other cloud telemetry tools.
• Cloud & LLM Diagnostics: Debug enterprise AI workflows hosted across public cloud environments (AWS, GCP), isolating issues across model hosting services, API gateways, and LLM reasoning pipelines.
• Incident & Queue Management: Triage high‑severity (P1) support queues, enforce SLAs, and prioritize critical outages over routine inquiries. Participate in weekend on‑call rotations for continuous coverage.
• Customer Success: Act as the primary technical escalation point for customer IT leadership, clearly explaining root causes, workarounds, and resolution plans during critical incidents.
• Database & Code Diagnostics: Write complex SQL queries to validate backend data integrity, debug REST/SOAP API payloads (JSON/XML), and use Python or Bash scripts to automate diagnostics.
• Reliability & Product Partnership: Document detailed investigation traces in Jira, ServiceNow, or Salesforce, update runbooks, and partner with engineering and data science teams to deliver permanent fixes and address issue trends.

Basic Qualifications (Required)

• Work Experience: Minimum 3 years of experience in technical support engineering, platform operations, or escalation management for enterprise SaaS platforms.
• Advanced AI & LLM Systems: Minimum 2 years of hands‑on experience reviewing, analyzing, or troubleshooting Large Language Model (LLM) pipelines, prompt/tool‑calling structures, or conversation traces/logs.
• Cloud & Monitoring Diagnostics: Minimum 2 years of hands‑on experience monitoring, debugging, or troubleshooting services on public cloud infrastructure (AWS, GCP, or Azure). Minimum 2 years of experience using enterprise monitoring and observability tooling (e.g., Grafana, Kibana, Datadog, or Prometheus).
• Technical Stack & Coding: Minimum 2 years of experience using programming languages or writing and executing SQL queries for data analysis and tuning. Minimum 2 years of experience analyzing API structures and data serialization formats (JSON or XML). Minimum 2 years of experience troubleshooting operating systems (Linux or Windows) and cloud networking components.
• Operational Availability: Willingness and ability to participate in scheduled weekend on‑call coverage rotations.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical work experience).
• Foundational exposure to Explainable AI (XAI) concepts and model interpretability framework analysis.
• Demonstrated history of prioritizing support queues, managing severe incident escalations, and de‑escalating critical customer issues.
• Strong written and verbal communication skills with the ability to convey complex technical diagnoses to non‑technical stakeholders and cross‑functional partners.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodation, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.