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Lincoln Financial

Insurance, retirement, and financial services provider

Sr AI/ML Ops Engineer

Applied Machine LearningUpdated on Nov 14
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related discipline, or four years of equivalent work experience in lieu of a bachelor's degree.
  • At least four years of experience in AI/ML operations, ML engineering, platform engineering, cloud infrastructure, DevOps, site reliability engineering, or a related field directly aligned to the role's responsibilities.

Responsibilities

  • Design scalable operational patterns for AI/ML models, pipelines, agents, and supporting services across complex environments.
  • Develop comprehensive observability for availability, latency, performance, drift, quality, safety, capacity, and cost.
  • Engineer CI/CD, versioning, release governance, progressive deployment, rollback, and recovery capabilities.
  • Diagnose complex incidents and systemic reliability issues, lead root-cause analysis, and drive preventive action.
  • Define service-level indicators, operational readiness criteria, runbooks, dashboards, and lifecycle controls.
  • Build automation for testing, validation, monitoring, incident response, capacity management, and lifecycle operations.
  • Translate ambiguous requirements into technical designs and measurable operational outcomes.
  • Lead technical workstreams, review solution approaches and code, and guide less experienced colleagues.
  • Maintain knowledge of current and emerging developments and trends for assigned areas of responsibility.
  • Support organizational and departmental initiatives and incorporate applicable standards into current and future solutions; identify and recommend process improvements that reduce workloads, improve quality, or strengthen operational outcomes.
  • Implement and maintain LLMOps and agentic operations capabilities, including prompt versioning, agent orchestration observability, tool-use auditing, guardrail enforcement, and output safety controls for production LLM-based and agentic systems.
  • Support model risk management requirements by implementing validation gates, challenger model workflows, audit trail controls, and compliance checkpoints in production AI/ML pipelines consistent with regulatory standards applicable to financial services.
  • Serve as a technical resource to team members and applicable internal and external stakeholders.

About the Company

Lincoln Financial

Insurance, retirement, and financial services provider

Lincoln Financial Group offers life insurance, annuities, and retirement income products through its network of affiliated companies, and also provides securities and investment advisory services via affiliated broker-dealers. Its products combine insurance coverage or retirement-focused contracts with investment options, where customers fund premiums, choose subaccounts or riders, and receive benefits such as death benefits, living benefits, or guaranteed income in retirement. The company differentiates itself with a family of affiliated brands and distributors that coordinate life, annuity, and advisory products under one umbrella. Its goal is to help individuals and families protect loved ones, plan for retirement, and achieve financial security through integrated protection and investment solutions.

Company size
Not listed
Company stage
Not listed
Total funding
$128.8M
Headquarters
Radnor Township, Pennsylvania
Founded
1905

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