Sr. Analyst, Applied AI Engineer

Lincoln Financial is hiring a Senior Applied AI Engineer to design and deliver intelligent, production-ready AI services and agentic workflows. The role supports enterprise use cases built on cloud, data, and application platforms, with a focus on practical AI capabilities such as ranking, summarization, retrieval, classification, recommendation, and decision support.

In this hybrid position based in Radnor, PA, you will partner with business, engineering, product, and governance stakeholders to turn operational pain points into AI features, measurable success criteria, and implementation plans, while following governed enterprise AI development practices.

What you will do

• Lead the design and implementation of AI solutions for ranking, summarization, extraction, classification, recommendation, and conversational workflows across complex, multi-stakeholder use cases.
• Build prompt-based and model-based solutions using Python and modern AI orchestration patterns, evaluating technical options and recommending scalable approaches independently.
• Work with structured and unstructured data across cloud and enterprise data environments to create reliable, governed AI workflows integrated with broader data and application ecosystems.
• Establish and improve evaluation, testing, and monitoring approaches for AI-enabled workflows and agentic systems to enhance accuracy, quality, reliability, and operational readiness.
• Collaborate with stakeholders to translate ambiguous operational needs into production AI features, success measures, and implementation plans.
• Develop and enhance reusable prompt libraries, agent patterns, and service interfaces to support internal AI products 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 adoption of effective AI engineering patterns.

Qualifications

• Education: 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of a Bachelor's).
• Experience: 5–7+ years of experience in ML engineering, applied AI, NLP, or LLM engineering directly aligned with the responsibilities (5+ years acceptable).
• Strong Python experience.
• 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.
• Plus: Experience with SageMaker Studio and AgentCore.
• Strong communication and product collaboration skills.

Tools and technologies

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

Compensation and benefits

• Pay range: $96,900 - $176,200 per year.
• Competitive 401K and employee benefits.
• Free financial counseling, health coaching, and employee assistance program.
• Tuition assistance program.
• PTO/parental leave.
• Leadership development and virtual training opportunities.
• Effective productivity/technology tools and training.
• Work arrangements that work for you.
• Clearly defined career tracks and job levels tied to Lincoln core values and leadership attributes.

Work arrangement

• Hybrid: 3 days per week in a Lincoln office.

Location

• Radnor, PA

Application deadline

• Applications accepted through August 30, 2026, subject to earlier closure due to applicant volume.

Relocation assistance

• Not available for this opportunity.

This position may be subject to Lincoln’s Political Contribution Policy.