Engineer Jobs

About The Position

Requirements

• Hands-on experience with LLM-based systems, agentic workflows, and distributed architectures.
• Deep experience in observability, incident management, and production reliability across cloud environments.
• Experience identifying drift in agentic application behavior before it causes customer escalation.
• Experience in regulated or enterprise-grade environments involving compliance, security posture, and operational governance.
• Ability to turn operational experience into standards, playbooks, and repeatable processes.
• Ability to work across delivery squads, engineering and platform teams, customers, and external partners.
• Ability to engage effectively with architects and take responsibility for operating systems built by other teams.

Responsibilities

• Define and own the handover framework for transitioning FDE engagements from Value Delivery to Value Operation, including production-readiness requirements.
• Build monitoring, alerting, and incident-response capabilities for deployed AI solutions and ensure contractual SLA commitments are met.
• Establish production AI quality practices, including drift detection, performance benchmarking, guardrail validation, and retraining triggers.
• Establish operational best practices for production security, data boundaries, and compliance across customer engagements.
• Work with engineers to maintain enterprise standards after deployment and establish self-healing capabilities.
• Design scalable operational models, tooling, automation, and partner integration for customer engagements.
• Capture operational learnings with the Knowledge & IP team and feed them back into the delivery lifecycle.
• Mentor engineers, set operational standards, and build the technical capabilities of the emerging team.
• Collaborate globally with FDE squads and hubs, external delivery partners, and customers when production demands it.

Benefits

• Flexible working models
• Health and well-being support