Senior Manager, AI Engineering

🕒 October 8

🇺🇸 United States – Remote

💵 $158k - $237k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TruStage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded CUNA Mutual Group, which was founded in 1935

🛡️ Insurance

💸 Finance

💳 Fintech

Insurance • Finance • Fintech

TruStage is a company delivering insurance, investment, and technology solutions designed to help individuals and businesses make informed and confident financial decisions. The company offers a comprehensive array of insurance products, including life, auto, home, and property insurance, as well as specialized insurance for businesses. TruStage also provides investment solutions like annuities and wealth management, along with technology solutions focused on compliance and e-commerce enablement. Recognized for helping clients manage risk and build financial security, TruStage has been serving customers since 1935 and continues to stand out as a highly-rated provider in the insurance industry.

📋 Description

• Lead, mentor, and develop a team of AI engineers and technical specialists • Foster innovation, technical excellence, collaboration, and continuous learning • Manage performance, career development, coaching, and succession planning • Support recruiting, onboarding, and workforce planning • Oversee planning, execution, and delivery of AI development activities • Manage work progress, risks, issues, dependencies, and delivery commitments • Remove execution barriers across concurrent initiatives • Ensure AI solutions meet timeline, quality, reliability, and security expectations • Provide technical guidance for AI and machine learning solution design and implementation • Promote engineering standards, reusable components, testing, documentation, and development frameworks • Support AI engineering, MLOps, automation, and DevSecOps best practices • Evaluate emerging AI technologies for enterprise applicability • Collaborate with business and technology stakeholders to define technical approaches • Align AI development with implementation priorities and adoption needs • Communicate progress, risks, and outcomes to leadership and stakeholders • Manage relationships with vendors and technology partners • 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

🎯 Requirements

• 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 • Experience in regulated environments preferred • Resume required to apply

🏖️ Benefits

• Annual incentive (bonus) plan may be available • Medical insurance • Dental insurance • Vision insurance • Employee assistance program • Life insurance • Disability plans • Parental leave • Paid time off • 401k • Tuition reimbursement • Flexible workplace and work-life balance • Career growth • Retirement assistance • Flexibility to work in a preferred location • Technology and other tools supporting hybrid working