Senior Ai/ml Engineer – Platform & Engineering Enablement (mbp)

Fidelity National Information Services

Not specified
Apply ai/ml across engineering lifecycle
Build practical ai systems
Challenge existing engineering assumptions
Fidelity National Information Services is seeking a Senior AI/ML Engineer to enhance engineering processes by embedding AI and ML across the software development lifecycle. The ideal candidate should have strong engineering fundamentals, creativity, and the ability to work independently in ambiguous environments

Job Summary

  • This role exists to reimagine how engineering teams build, test, deploy, operate, and support MBP, using AI as a lever—not to “add AI features”, but to change how work gets done.
  • Infuse AI Across the Engineering Lifecycle by identifying opportunities to apply AI/ML across code development, testing, CI/CD, production operations, and incident management.
  • You will influence how hundreds of engineers operate, not just one product feature, and have freedom to experiment, fail fast, and re-try.

Matching Summary

Match Score: 85

Fidelity National Information Services is seeking a Senior AI/ML Engineer to enhance engineering processes by embedding AI and ML across the software development lifecycle. The ideal candidate should have strong engineering fundamentals, creativity, and the ability to work independently in ambiguous environments.

Skills & Requirements

Must-have

  • apply AI/ML across engineering lifecycle
  • build practical AI systems
  • challenge existing engineering assumptions
  • improve developer productivity and reliability
  • LLM-powered developer or ops assistants
  • anomaly detection and predictive insights
  • knowledge mining from logs and tickets

Nice-to-have

  • innovator, not a rule-follower
  • comfortable operating in ambiguity
  • focus on value, adoption, and usability
  • act as a change agent
  • balance experimentation with discipline

Key Requirements

  • 4-6 years of experience in software engineering, AI/ML engineering, or applied ML
  • Strong programming skills in Python, Java, Go, or Scala
  • Hands-on experience with ML or AI systems in production
  • Solid understanding of software engineering fundamentals
  • Proven ability to work in ambiguous problem spaces and self-direct work

Work Rights

Not specified

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