Sr. Analyst, Applied AI Engineer

Lincoln Financial is seeking a Senior Applied AI Engineer to design and deliver production-ready intelligent services and agentic workflows. The role applies governed enterprise AI development practices to build AI capabilities across ranking, summarization, retrieval, classification, recommendation, and decision support.

Key Responsibilities

• Lead the design and implementation of AI solutions for ranking, summarization, extraction, classification, recommendation, and conversational workflows across complex, multi-stakeholder use cases.
• Develop prompt-based and model-based solutions using Python and modern AI orchestration patterns, independently evaluating technical options and recommending scalable approaches.
• Work with structured and unstructured data in cloud and enterprise data environments to build reliable, governed AI workflows that integrate with broader data and application ecosystems.
• Establish and improve evaluation, testing, and monitoring for AI-enabled workflows and agentic systems to support accuracy, quality, reliability, and operational readiness.
• Partner with business, engineering, product, and governance stakeholders to translate operational challenges into production AI features, success measures, and implementation plans.
• Advance reusable prompt libraries, agent patterns, and service interfaces for internal AI products to improve consistency, scalability, and adoption across teams.
• Apply responsible AI practices, including grounding, escalation paths, review controls, policy constraints, and measurable success criteria.
• Provide technical guidance to peers and project teams through best-practice sharing, solution reviews, and influence on adoption of effective AI engineering patterns.

Required Qualifications

• 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of a Bachelor's).
• 5 to 7+ years of experience in ML engineering, applied AI, NLP, or LLM engineering that directly aligns with the responsibilities; 5+ years in a related area is required.
• Strong experience with Python.
• Experience productionizing AI or ML workflows on AWS or similar cloud platforms.
• Familiarity with Databricks, MLflow, model evaluation, and governed data environments.
• Experience with SQL and distributed processing tools such as PySpark.
• Strong communication and product collaboration skills.

Preferred Qualifications

• Experience with SageMaker Studio and AgentCore.

Technologies

• Python
• AWS
• Databricks
• MLflow
• SQL
• PySpark
• SageMaker Studio
• AgentCore

Salary and Work Arrangement

Compensation: USD 96,900 to 176,200 per year.

Location: Radnor, PA (hybrid). The employee will work 3 days a week in a Lincoln office.

Benefits

• Competitive 401K and employee benefits
• Free financial counseling, health coaching, and an employee assistance program
• Tuition assistance program
• PTO/parental leave
• Leadership development and virtual training opportunities
• Effective productivity and technology tools and training
• Work arrangements that work for you
• Clearly defined career tracks and job levels, with associated behaviors for Lincoln core values and leadership attributes

Additional Information

• Application deadline: Applications will be accepted through August 30, 2026, subject to earlier closure due to applicant volume.
• Relocation assistance: Not available for this opportunity.
• Policy notice: This position may be subject to Lincoln’s Political Contribution Policy.