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Senior AI/ML Ops Engineer

Pay
$120,375–192,600/yearAnnual period assumed. Location-specific pay — pay source
Effective productivity/technology tools and training The pay range for this position is $120,375 - $192,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package. About The Company
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design scalable operating patterns for AI/ML models, pipelines, agents and services

  • Build observability for availability, latency, drift, quality, safety, capacity and cost

  • Engineer CI/CD, versioning, progressive deployment and rollback capabilities

  • Diagnose complex incidents, lead root-cause analysis and drive preventive fixes

  • Implement LLMOps controls such as prompt versioning, guardrails and output safety

From the employer’s posting
Designs scalable operational patterns for AI/ML models, pipelines, agents, and supporting services across complex environments.
Develops comprehensive observability for availability, latency, performance, drift, quality, safety, capacity, and cost.
Engineers CI/CD, versioning, release governance, progressive deployment, rollback, and recovery capabilities.
Diagnoses complex incidents and systemic reliability issues, leads root-cause analysis, and drives preventive action.
Implements and maintains LLMOps and agentic operations capabilities, including prompt versioning, agent orchestration observability, tool-use auditing, guardrail enforcement, and output safety controls
Education & alternatives
Must Haves: - 4 Year/Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, or related discipline, or 4 years of equivalent work experience in lieu of Bachelor's. - 4+ 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 of this position.

About Lincoln Financial

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future.

In the employer’s words · Read in context

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
2
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 76.

From 5,344 similar postings that came down. Coming down is not always a hire.

Lincoln Financial is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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About Lincoln Financial

People
About 9,981 in 2024.Benefit plan filings (Form 5500)
Company
Listed as LNC.

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina)

 

Work Arrangement:

Hybrid : Employee will work 3 days a week in a Lincoln office

 

Relocation assistance:  is not available for this opportunity.

 

Requisition #: 76865

 

The Role at a Glance

This role designs and delivers scalable operational capabilities for complex production artificial intelligence and machine learning solutions, including models, pipelines, agents, and shared platform services. The position applies advanced technical judgment to translate ambiguous reliability, deployment, observability, security, governance, and lifecycle needs into durable engineering solutions. The role leads defined technical workstreams, diagnoses systemic production issues, establishes service-level and operational readiness practices, and builds automation that strengthens release quality, resiliency, recovery, capacity management, and cost control. Through close partnership with AI/ML engineering, platform, data, architecture, security, risk, and governance stakeholders, the position influences solution direction, reviews technical approaches, and provides guidance that helps teams adopt consistent and effective AI/ML operations practices.

What you'll be doing

  • Designs scalable operational patterns for AI/ML models, pipelines, agents, and supporting services across complex environments.
  • Develops comprehensive observability for availability, latency, performance, drift, quality, safety, capacity, and cost.
  • Engineers CI/CD, versioning, release governance, progressive deployment, rollback, and recovery capabilities.
  • Diagnoses complex incidents and systemic reliability issues, leads root-cause analysis, and drives preventive action.
  • Defines service-level indicators, operational readiness criteria, runbooks, dashboards, and lifecycle controls.
  • Builds automation for testing, validation, monitoring, incident response, capacity management, and lifecycle operations.
  • Translates ambiguous requirements into technical designs and measurable operational outcomes.
  • Leads technical workstreams, reviews solution approaches and code, and guides less experienced colleagues.
  • Maintains knowledge of current and emerging developments and trends for assigned areas of responsibility.
  • Supports organizational and departmental initiatives and incorporates applicable standards into current and future solutions. Identifies and recommends process improvements that reduce workloads, improve quality, or strengthen operational outcomes.
  • Implements and maintains 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.
  • Supports 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.
  • Serves as a technical resource to team members and applicable internal and external stakeholders.

What we’re looking for

Must Haves:

  • 4 Year/Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, or related discipline, or 4 years of equivalent work experience in lieu of Bachelor's. 
  • 4+ 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 of this position. 

Application Deadline

Applications for this position will be accepted through December 30, 2026, subject to earlier closure due to applicant volume. 

 

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. 

 

What’s in it for you:

  • Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes

  • Leadership development and virtual training opportunities

  • PTO/parental leave

  • Competitive 401K and employee benefits

  • Free financial counseling, health coaching and employee assistance program

  • Tuition assistance program

  • Work arrangements that work for you

  • Effective productivity/technology tools and training

 

The pay range for this position is $120,375 - $192,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees.  In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.  Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

 

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services. 

 

With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach. 

 

Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice. 

 

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

 

Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. 

 

Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

 

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview.  Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

 

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy.  An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

 

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

 

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling (866) 922-6543.

 

This Employer Participates in E-Verify. See the E-Verify notices.

Este Empleador Participa en E-Verify. Ver el E-Verify avisos. 

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Pay
Effective productivity/technology tools and training The pay range for this position is $120,375 - $192,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package. About The Company
Location & working pattern

Radnor, PA, US

Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office Relocation assistance: is not available for this opportunity.
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