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Senior AI Ops Engineer

Bottomline

New
Senior 🇬🇧 English
Python Java AWS Azure GCP Kubernetes CI/CD Infrastructure as Code API Development Enterprise Integrations MLOps Generative AI LLMs Agentic AI Model Context Protocol Observability Platforms Vector Databases Workflow Automation Operational Intelligence Analytics

Job description

About the role

Bottomline is seeking a Senior AI Ops Engineer to design and deliver intelligent platforms, automation solutions, and AI‑driven capabilities that transform how teams operate and innovate. You will work with cutting‑edge AI, MLOps, and modern engineering practices to improve productivity, reduce MTTR, and enhance customer outcomes.

Key responsibilities

  • Design, build, and maintain AI‑enabled automation pipelines and operational intelligence platforms.
  • Integrate generative AI, LLMs, and agentic AI solutions into production systems.
  • Collaborate with cloud‑native, Kubernetes, and API teams to ensure scalable, resilient deployments.
  • Analyze production failures, develop automated remediation, and continuously improve system reliability.

Required profile

  • Passionate about solving complex business challenges through technology and automation.
  • Strong ability to learn rapidly and adopt emerging AI/ML frameworks and industry trends.
  • Experience mentoring peers and fostering a culture of continuous learning.

Required skills

  • Programming languages: Python, Java (or comparable).
  • Cloud platforms: AWS, Azure, GCP.
  • Container orchestration: Kubernetes, Docker.
  • CI/CD, Infrastructure as Code (IaC), API development and enterprise integrations.
  • MLOps, generative AI, LLMs, agentic AI, Model Context Protocol (MCP), Retrieval‑Augmented Generation (RAG).
  • Observability platforms, vector databases, workflow automation, operational intelligence, analytics.

Questions fréquentes

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Source : ats:greenhouse

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Published 8 hours ago

Expires 1 month from now

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