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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Analyst, Applied AI Engineer - **Company:** Lincoln National Corporation - **Location:** Radnor, PA, United States - **Experience:** Expert - **Salary:** $96,900.0 - $176,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Infrastructure, Decision Support Systems, Distributed Computing Environment, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Unstructured Data, Large Language Models, Model Validation, Pyspark, Machine Learning Operations, Automation Anywhere, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4e69004e46b65327 ## About the Role * 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) * 5 - 7+ Years of experience in ML engineering, applied AI, NLP, LLM engineering, that directly aligns with the specific responsibilities for this position. 5+ years of experience in ML engineering, applied AI, NLP, LLM engineering, or a related field. * 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 working with SQL and distributed processing tools such as PySpark. * Experience with SageMaker Studio, AgentCore are plus * Strong communication and product collaboration skills. ## Description The Sr. Applied AI Engineer designs and builds intelligent services and agentic workflows that sit on top of the cloud, data, and application stack. This role creates production-ready solutions for ranking, summarization, retrieval, classification, recommendation, and decision support using Python and governed enterprise AI development practices. What you'll be doing Leads the design and implementation of AI solutions for ranking, summarization, extraction, classification, recommendation, and conversational workflows across complex or multi-stakeholder use cases. Develops prompt-based and model-based solutions using Python and modern AI orchestration patterns, independently evaluating technical options and recommending scalable approaches. Works across structured and unstructured data in cloud and enterprise data environments to design reliable, governed AI workflows that integrate with broader data and application ecosystems. Establishes and enhances evaluation, testing, and monitoring approaches for AI-enabled workflows and agentic systems to improve accuracy, quality, reliability, and operational readiness. Partners with business, engineering, product, and governance stakeholders to translate ambiguous operational pain points into production AI features, success measures, and implementation plans. Advances reusable prompt libraries, agent patterns, and service interfaces for internal AI products, promoting consistency, scalability, and adoption across teams. Applies and helps strengthen responsible AI practices, including grounding, escalation paths, review controls, policy constraints, and measurable success criteria for AI-enabled solutions. Provides technical guidance to peers and project teams by sharing best practices, reviewing solution approaches, and influencing adoption of effective AI engineering patterns., 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)