🚀 Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation)
Resumen del puesto por JobGrid
🚀 Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation) at Infotel UK: Chennai, India; Presencial. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Chennai, India, Presencial
- Source freshness: checked by JobGrid on 2026-06-04.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Greetings from Infotel!
We are looking for an experienced Senior AI / ML Ops Engineer to join a leading Banking Domain client in Chennai.
📍 Work Location: Chennai (Perungudi)
🏢 Work Mode: Work From Office (WFO)
💼 Employment: Infotel Payroll (Permanent Employment)
🏦 Client Domain: Banking
🎯 Experience: 7 – 12+ Years
⏳ Notice Period: Immediate Joiners to Maximum 30 Days Only
Interview Process:
• L1 – Virtual Interview
• L2 – Face-to-Face Interview (Mandatory)
Role Overview:
The Senior AI / ML Ops Engineer will play a critical role in designing, deploying, and operating Agentic AI solutions within a highly critical production environment. The candidate will bridge AI engineering and production operations to ensure AI-driven automation is secure, scalable, reliable, and production-ready.
Key Responsibilities:
✅ Design and develop Agentic AI systems using LangChain, LangGraph, LangSmith, or similar frameworks.
✅ Build reasoning, planning, orchestration, and decision-making capabilities for AI-driven production automation.
✅ Integrate AI agents with observability platforms such as Dynatrace, monitoring tools, logs, metrics, and tracing systems.
✅ Implement AI/ML Ops practices, CI/CD pipelines, lifecycle management, and automation workflows.
✅ Define approval workflows, rollback mechanisms, safeguards, and Human-in-the-Loop controls for production environments.
✅ Ensure compliance with security, governance, auditability, and reliability standards.
✅ Collaborate with SRE, Operations, DevOps, Platform Engineering, and Architecture teams to industrialize AIOps initiatives.