Sr. Manager, AI Engineering - Hybrid

At Tru Stage, 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:
Tru Stage awards and recognition

Brief and in a few sentences statement of the reason the job exists.

The Senior Manager, AI Engineering leads the development and operationalization of AI solutions that advance enterprise business objectives while delivering measurable business value safely, consistently, and orting to the Director of Artificial Intelligence, this role manages a team of AI engineers and technical specialists responsible for designing, developing, testing, and deploying AI-powered solutions.

The Senior Manager partners closely with business stakeholders, AI Delivery, Architecture, Data, Security, and Technology teams to translate business requirements into scalable AI capabilities while ensuring engineering excellence, responsible AI practices, and operational readiness.

List of general activities, duties and/or tasks typically performed within the job.

• Lead, mentor, and develop a team of AI engineers and technical specialists.
• Foster a culture of innovation, technical excellence, collaboration, and continuous learning.
• Manage performance, career development, coaching, and succession planning activities for team members.
• Support recruiting, onboarding, and workforce planning activities.

• Oversee the planning, execution, and delivery of AI development activities.
• Manage work progress, risks, issues, dependencies, and delivery commitments.
• Remove barriers and facilitate effective execution across multiple concurrent initiatives.
• Ensure AI solutions are delivered on time and meet quality, reliability, and security expectations.

• Provide technical guidance for AI and machine learning solution design and implementation.
• Promote engineering standards, reusable components, testing practices, documentation, and development frameworks.
• Support the adoption of AI engineering, MLOps, automation, and Dev Sec Ops  best practices.
• Stay current on emerging AI technologies and evaluate their applicability to enterprise needs.

• Collaborate with business and technology stakeholders to understand requirements and define technical approaches.
• Partner with AI Delivery teams to align development activities with implementation priorities and adoption needs to achieve desired business outcomes.
• Communicate progress, risks, and outcomes to leadership and stakeholders.
• Foster productive relationships with vendors and technology partners supporting AI development.

• Drive continuous improvement of development processes, tools, and engineering practices.
• Support SDLC and model lifecycle management, monitoring, reporting, supportability, and operational readiness.
• Ensure compliance with enterprise security, governance, and responsible AI standards.

The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.

List of general education, background and experience, knowledge, skills, and abilities typically required to effectively perform the responsibilities of the job. Also include any required licenses and/or designations.

• Bachelor’s degree in computer science, data…