Technology R&D Senior Engineer - TruStage

At TruStage, we’re on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what’s possible. We need you to help us shape what’s next. You’ll be encouraged to share your experiences, ideas and skills to help others take control of their financial future.

Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition

Job Summary:

The Senior, Technology R&D Engineer researches, builds, tests, and delivers working prototypes and proof-of-concepts that turn emerging technologies into practical enterprise solutions.

Working within the Technology Innovation Office, this role investigates business problems, designs technical experiments, builds solutions, and validates outcomes through hands-on engineering execution.

The role starts with business problems and applies emerging or mature technology to create measurable value through rapid prototyping, practical experimentation, and pilot-ready solution development.

Job Responsibilities:

Collaboration and Engagement

• Work directly with engineers, data scientists, and analysts across the Technology Innovation Office to deliver R&D outcomes
• Drive technical discovery conversations and convert business needs into executable innovation work
• Engage technology, compliance, risk, product, and platform teams to clarify constraints and shape practical solution paths
• Recommend R&D priorities, backlog focus, and problems worth solving based on feasibility, impact, and measurable value
• Coordinate work across asynchronous contributors and varied working styles to keep experiments moving forward

Research and Prototyping Execution

• Research emerging technologies, tools, and approaches aligned to enterprise innovation priorities
• Build technical solutions across multiple R&D initiatives
• Design, develop, test, and iterate prototypes and proof-of-concepts with appropriate technical direction from other engineers and technical subject matter experts
• Perform data integration, modeling, and pattern discovery using enterprise data
• Iterate quickly, apply learning from outcomes, and advance rapid experimentation into usable technical artifacts

Experimentation and Validation

• Conduct structured evaluations of AI platforms, frontier models, data tools, and vendors
• Assess Microsoft ecosystem options first, then alternatives when appropriate
• Run experiments to assess feasibility, performance, and applicability of new technologies
• Refine evaluation frameworks and methods based on experiment results and stakeholder needs