Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
AI Operations Incident Commander (Offshore)
Major Incident Management | Technical Coordination | Shift Leadership | Handoff Discipline
Purpose: Provide offshore incident command, lead live technical coordination during offshore hours, and maintain seamless incident continuity with the onshore lead.
Role
AI Operations Incident Commander (Offshore)
Level
Experienced / Senior
Tower
AI Operations & Platform Support (AI Managed Services)
Experience
6+ years in production operations, incident management, technical support leadership, or live service operations
Work Location
India (Remote)
Key Platforms
AI support operations across AWS / Bedrock, OpenAI, platform and application support teams, ITSM workflows, and major-incident bridges
Role profile
Hands-on incident leader who can run the bridge, coordinate technical triage, maintain clean evidence trails, and keep incidents moving during offshore hours without waiting for others to create structure.
Primary Focus
Live incident command, technical triage coordination, severity assessment, responder mobilization, handoff quality, ticket discipline, and restoration tracking.
Best fit
Someone who is calm, structured, operationally strong, and able to direct engineers and support teams while still staying close to the technical detail.
Role Summary
As the AI Operations Incident Commander (Offshore), you will lead live incident coordination during offshore hours and provide structured command for production issues impacting the client’s AI support environment. We need someone who can rapidly size the situation, confirm severity, engage the right teams, keep the bridge disciplined, and maintain an accurate view of what is happening technically. This role sits close to the work: you should be comfortable coordinating engineers, reviewing evidence, challenging weak updates, and preparing clean handoffs to the onshore lead and client stakeholders when needed.
Key Responsibilities
Preferred Skills And Experience
Skill area
Preferred Background
Major incident leadership
Experience coordinating high-severity production incidents, including bridge management, severity assessment, action tracking, and restoration management.
Technical support depth
Enough technical depth to follow cloud, application, integration, and observability signals and challenge incomplete or weak technical updates.
Service operations and ITIL
Experience working within ITIL-aligned incident, problem, change, and service-request processes with strong ticket hygiene.
Communication and handoffs
Excellent written and verbal communication skills with the ability to provide concise bridge updates and high-quality handoffs across shifts.
Problem solving under ambiguity
Ability to make sound decisions with incomplete information, prioritize quickly, and keep progress moving.
Ownership and teamwork
Strong sense of ownership, comfort operating in ambiguity, and willingness to engage stakeholders proactively to unblock work.
Nice to Have
Working Style & Core Behaviors
What Good Looks Like
Team Context
You will join PwC’s AI Operations & Platform Support team supporting clients’ run-state AI environment. The operating model is centered on Level 2 and Level 3 support, monitoring, incident response, service requests, minor enhancements, and continuous improvement across AWS/Bedrock, OpenAI, and related platform components.
This role will work in a managed-services model focused on incident management, service requests, monitoring, minor enhancements, knowledge management, and continuous improvement. Success depends not only on technical skill, but also on ownership, collaboration, and the ability to engage stakeholders to progress work.
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