Infotel UK

🚀 Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation)

🇮🇳 Chennai, Індія На місці Опубліковано Чер 1, 2026
Локація Chennai, Індія
Формат роботи На місці
Мова English
Опубліковано 01 червня 2026 р.
Остання перевірка 04 червня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

🚀 Hiring: Senior AI / ML Ops Engineer (Agentic AI & Production Automation) at Infotel UK: Chennai, Індія; На місці. 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, Індія, На місці
  • 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.