Senior AI/ML Ops Engineer - Hybrid, CI/CD & Observability

Lincoln Financial Group

Radnor (Delaware County)

Hybrid

USD 120,000 - 193,000

Full time

5 days ago
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Benefits offered by this job

Career development
Leadership training
Financial counseling
Tuition assistance
Hybrid work schedule

Job summary

Lincoln Financial Group in Radnor, PA area is seeking a Senior AI/ML Operations Engineer to design scalable patterns for AI/ML models, pipelines, and agents across complex environments. You will implement observability, reliability, and governance for production systems in a hybrid work setting.

You’ll lead technical workstreams, drive incident analysis, and build automated testing, validation, and monitoring. Strong collaboration with teams to reduce risk and improve performance is expected.

Qualifications

  • 4+ years of experience in AI/ML operations, ML engineering, platform engineering, cloud infrastructure, DevOps, SRE, or related field.

Responsibilities

  • Designs scalable operational patterns for AI/ML models, pipelines, agents, and supporting services.
  • Develops comprehensive observability for availability, latency, performance, drift, quality, safety, capacity and cost.
  • Engineers CI/CD, versioning, release governance, progressive deployment, rollback and recovery.
  • Diagnoses incidents, leads root-cause analysis, and drives preventive action.
  • Implements and maintains LLMOps and agentic operations capabilities for production AI/ML systems.

Skills

AI/ML operations
Cloud infrastructure
DevOps
Site reliability engineering

Education

Bachelor's degree in Computer Science or related

Job description

Lincoln Financial Group in Radnor, PA area is seeking a Senior AI/ML Operations Engineer to design scalable patterns for AI/ML models, pipelines, and agents across complex environments. You will implement observability, reliability, and governance for production systems in a hybrid work setting.

You’ll lead technical workstreams, drive incident analysis, and build automated testing, validation, and monitoring. Strong collaboration with teams to reduce risk and improve performance is expected.

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