Lead AI Platform Engineer

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $135.5k - $203.3k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 0%

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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

• Design, build, and operate enterprise AI, MLOps, and LLMOps platform capabilities • Support model development, deployment, and lifecycle management • Implement standardized end-to-end AI pipelines for data ingestion, training, evaluation, approval workflows, deployment automation, and monitoring • Create reusable platform templates and reference architectures for predictive ML, GenAI, RAG, and agentic workflows • Embed security, privacy, and AI governance controls into platform services using policy-as-code and automated guardrails • Implement observability, reliability engineering practices, SLIs/SLOs, logging, metrics, alerting, and incident response for AI services • Partner with AI Governance, Risk, Legal, Privacy, and Security teams on responsible AI, auditability, and regulatory readiness • Provide technical leadership for AI platform roadmap planning, backlog prioritization, and delivery sequencing • Optimize platform performance, cost, and capacity for AI workloads, including compute allocation and scaling strategies • Enable adoption through documentation, onboarding materials, and internal enablement for delivery teams

🎯 Requirements

• Bachelor’s degree in computer science, engineering, data science, or related technical field, or equivalent combination of education and/or related professional work experience • 7+ years of experience in platform engineering, DevOps/SRE, cloud infrastructure, or software engineering • At least 3 years supporting AI/ML platforms • Hands-on experience with CI/CD, infrastructure-as-code, containerization, and cloud-native architectures • Working knowledge of AI/ML and GenAI delivery patterns, including model lifecycle management and evaluation concepts • Experience implementing secure access patterns, secrets management, and role-based provisioning for enterprise platforms • Strong collaboration skills and ability to translate requirements across engineering, governance, and business stakeholders • Experience building or operating enterprise AI platforms leveraging Azure AI services or comparable cloud offerings • Familiarity with responsible AI and governance practices in regulated environments • Experience supporting internal developer platforms or enterprise self-service tooling • Prior experience in insurance, financial services, or other regulated industries • A resume is 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 support • Career growth opportunities • Retirement assistance • Workplace flexibility, including working in a preferred location • Technology and tools supporting hybrid working