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Lincoln Financial

Insurance, retirement, and financial services provider

Lead AI/ML Ops Engineer

Applied Machine LearningPosted on Nov 6
Full-time

About the Job

Requirements

  • A four-year 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 five 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 responsibilities.

Responsibilities

  • Lead end-to-end design and delivery of operational capabilities across multiple teams or solution areas.
  • Establish observability, service-level, capacity, performance, safety, and cost-management standards.
  • Define scalable patterns for CI/CD, versioning, release governance, progressive deployment, rollback, disaster recovery, and lifecycle management.
  • Provide technical leadership during critical incidents and drive systemic corrective and preventive improvements.
  • Lead development of reusable automation, tooling, dashboards, runbooks, readiness controls, and engineering standards.
  • Evaluate architecture and technology options and balance reliability, security, governance, speed, and cost tradeoffs.
  • Partner with engineering, platform, data, architecture, security, risk, and governance leaders to shape production standards.
  • Lead complex technical initiatives, review designs and code, mentor engineers, and influence adoption across teams.
  • 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.
  • Lead 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.
  • Operationalize model risk management requirements by embedding validation gates, challenger model workflows, audit trail controls, and compliance checkpoints into production AI/ML pipelines in alignment 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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