Senior AI Engineering Manager: Lead, Scale ML Solutions

CMFG Life Insurance Company; Madison (WI); Hybrid; USD 158,000 - 237,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Employee Assistance Program

Life insurance

Disability plans

Parental leave

Paid time off

401k

Tuition reimbursement

Hybrid work model

Job summary

TruStage is seeking a Senior Manager, AI Engineering to lead the development and deployment of AI-powered solutions at enterprise scale. You will mentor a team of AI engineers, drive engineering excellence, and partner across AI Delivery, Architecture, Data, Security, and Tech groups.

You will champion responsible AI, MLOps, DevSecOps, and modern development practices while aligning technical efforts with business outcomes.

Qualifications

• Bachelor’s degree in computer science, data science, engineering, or related field, or equivalent combination of education and/or related professional work experience.
• 10+ years of experience in software engineering, data science, machine learning, AI engineering, or related technical disciplines.
• 3+ years of experience managing technical teams in delivering complex technology solutions.
• Demonstrated experience designing, developing, and deploying AI, machine learning, generative AI, or automation solutions.
• Strong understanding of software engineering principles, cloud-native architectures, APIs, MLOps practices, and modern development methodologies.
• Strong communication, collaboration, and problem-solving skills.
• Ability to balance technical excellence with business value delivery.
• Preferred: Experience in regulated environments.

Responsibilities

• 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 DevSecOps 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.

Skills

AI engineering

Team leadership

MLOps

Cloud-native architectures

Communication

Regulated environments

Automation

DevSecOps

Education

Bachelor’s degree in computer science

Job description

TruStage is seeking a Senior Manager, AI Engineering to lead the development and deployment of AI-powered solutions at enterprise scale. You will mentor a team of AI engineers, drive engineering excellence, and partner across AI Delivery, Architecture, Data, Security, and Tech groups.

You will champion responsible AI, MLOps, DevSecOps, and modern development practices while aligning technical efforts with business outcomes.