AI Engineer; Hybrid
Listed on 2026-02-28
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IT/Tech
AI Engineer, Data Engineer, Data Analyst, Data Scientist
Feb 24, 2026
* This position is eligible to be hired at the Consultant or Senior Analyst level. Title and salary will be determined based on the qualifications and skills of the candidate.
Position SummarySecurian Financial has an amazing opportunity for someone passionate about data and technology that will drive our Win with Purpose strategy! Our team delivers the platforms, tools, and technical solutions that empower our data and analytics teams (Data Engineering, Data Science, Data Governance, and Analytics teams) to implement AI use cases, help the business make data driven decisions and drive adoption of transformational solutions that help people excel in their work.
We work closely with these teams to understand their current and future needs and execute projects to research, proof of concept, and implement new solutions. We always stay up to date with the latest trends and technologies to meet the ever‑changing requirements of our stakeholders. Join us to make a difference and leverage data as an asset.
- AI Large Language Models on our AI Document Processing Solution using AI to assist Claims in extracting critical data from pdf documents.
- AI Natural Language Processing (NLP) for Life New Business helping to summarize thousands of emails and identifying the most critical topics to solve.
- Data Science Workbench, our platform used by data scientists to build reusable assets and delivery value faster.
- Implementing Retrieval Augmented Generation (RAG) and vector databases, key AI technologies, to help SBS solve Securian centric knowledge‑based use‑cases.
- Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
- Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
- Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
- Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies, and partner to implement solutions for their needs.
- Research and experiment with data and analytics tools to stay at the forefront of technology trends.
- Drive innovation and experimentation, matching business needs with technology solutions.
- Ensure platforms and tools are up to date and follow security best practices.
- Hands on experience working with cloud technologies and solutions.
- Creative and innovative mindset with the ability to drive to outcomes.
- Strong technical skills, with experience researching, implementing, and onboarding new technologies.
- CI/CD Cloud deployment experience, experience using Git / Git Hub.
- Passion and understanding of new technology and trends including database and analytics technologies, data science, AI and machine learning. Desire and willingness to continuously improve those skills and knowledge.
- Degree in Computer Science or Data Science.
- AWS Certifications or experience using AWS cloud tools and services.
- Ability to work with ambiguity and organize requirements to identify options.
- Implementing technology platforms and AWS services or application development.
- Experience working with structured and unstructured data and data storage technology such as RDS Postgres, Redshift, S3, Dynamo
DB. - Experience with tools supporting the development of AI solutions such as:
- R Studio Server, Sage Maker, Python, ML Flow, Docker, Control‑M enterprise scheduler.
- Data Pipeline tools such as Stream Sets.
- Model Pipeline tools such as AWS Step functions and Sage Maker jobs.
This position will have a hybrid working arrangement, working in‑office for a minimum of 3 days a week.
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you’re in a commutable distance (90 minutes) you’ll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
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