Wellmark, Inc.
Insurance
LeadSecurityEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Security Engineer at Wellmark, Inc.. Skills: AI platform security, Cloud security, DevSecOps. Secure corporate AI capabilities. Establish best practices for AI systems”
What You'll Achieve.
Avoid potential security incidents; Avoid business impact
Industry & Context.
Problem-solving; Analytical skills; Root cause analysis
Travel up to 5%
What They're Looking For.
Must Have
Bachelor's degree or applicable work experience, 7+ years architecting server/network controls, Knowledge of compliance/regulatory requirements, Experience architecting enterprise security solutions, Experience with DevSecOps and automation, Analytical and problem-solving skills, High attention to detail, Ability to prioritize tasks, Ability to design cybersecurity solutions, Customer service orientation, Effective verbal and written communication, Work with technical and non-technical personnel, Address all levels of leadership
Nice to Have
Experience creating/managing AI Agent IDs, Experience with RAG pipelines, Understanding of AI lifecycle risks, Experience securing AI workloads on AWS & Azure, Experience with Cloud Hardening Best Practices, Infrastructure-as-Code (IaC) for Cloud, Background in application security, Background in cloud security, Background in IAM, Experience embedding security into CI/CD, Experience embedding security into IaC, Experience embedding security into SDLC, RHEL Linux skills, Understanding of AI/LLM-specific threats, Experience implementing AI security controls, Understanding of secure AI architecture, Understanding of AI governance frameworks, Familiarity with OWASP Top 10 for LLM Applications, Familiarity with NIST AI Risk Management Framework, Familiarity with Responsible AI practices, Familiarity with AI compliance practices, Familiarity with SIEM, Familiarity with threat detection, Familiarity with vulnerability management, Integrating AI with SIEM systems
What You'll Do.
Secure corporate AI capabilities
Establish best practices for AI systems
Design/Implement guardrails for AI code-generation tools
Enable safe AI-assisted development
Support model selection and integrations
Engineer and secure Microsoft Agents
Engineer and secure Copilot-style workflows
Engineer and secure agent-driven automation
Prevent insecure code generation
Prevent prompt leakage
Prevent unsafe agent behavior
Preserve developer velocity
Identify risk-related issues
Architect solutions to avoid security incidents
Create architecture policies
Design security for monitoring
Design security for logging
Design security for IAM
Design security for encryption
Design security for data protection
Design security for detection controls
Design security for preventive controls
Provide expertise for cloud security
Provide expertise for secured code detection
Provide expertise for secured code prevention
Deploy identity and access management controls
Develop secure enterprise-grade cloud processes
Maintain resilient enterprise-grade cloud processes
Monitor cloud computing environments
Assess cloud computing environments
Recommend tactical initiatives
Recommend strategic initiatives
Align with architects to create secure workloads
Advise on security tools
Design with security tools
Advise on security controls
Design with security controls
Communicate security posture to leaders
Communicate security posture to stakeholders
Communicate security posture to IT
Communicate security posture to developers
Design for integrated security controls
Design for integrated workflows
Design for integrated data protection
Design for integrated authentication
Design for integrated authorization
Act as technical architect for Windows
Act as technical architect for Linux
Act as technical architect for VMware
Act as technical architect for Kubernetes
Act as technical architect for Docker
How You'll Work.
Team & Collaboration
Cross-functional teams; Work with architects; Work with system engineers; Work with cybersecurity leaders; Work with stakeholders; Work with IT; Work with developers
Communication Scope
Verbal communication; Written communication; Address leadership; Address business staff; Address technical staff; Address non-technical staff; Communicate security posture
Process & Methodology
Agile
Full Job Description
Why Wellmark : We are a mutual insurance company owned by our policy holders across Iowa and South Dakota, and we’ve built our reputation on over 80 years’ worth of trust. We are not motivated by profits. We are motivated by the well-being of our friends, family, and neighbors–our members. If you’re passionate about joining an organization working hard to put its members first, to provide best-in-class service, and one that is committed to sustainability and innovation, consider applying today! Why Wellmark Technology? Wellmark is building innovative, modern solutions using cutting edge technology. We are driving organizational transformation and business strategy by empowering our technology team to innovate new and elegant solutions to enhance the customer experience. Together, we are leaning into the future, owning the outcome, and driving organizational change to transform how we work. We are seeking a Lead Security Engineer with deep experience securing enterprise systems, cloud platforms, and agent‑based AI development environments at scale. This role is hands‑on and execution‑focused, responsible for defining guardrails around AI workloads across the full lifecycle—development, deployment, training, and inference. The ideal candidate combines production grade AI engineering with advanced expertise in cloud security, DevSecOps, identity, and governance, enabling organizations to adopt GenAI, Microsoft Agents, and AI‑assisted code generation platforms safely and at scale. This role aligns closely to modern Engineer expectations, with a specialization in AI platform security, and risk‑aware AI delivery. What you will do: * Secure corporate AI capabilities used in enterprise applications * Establish Best Practices for model implementation, versioning, monitoring and governance for AI Systems on the Enterprise. * Design/Implement guardrails for AI code‑generation tools used in developer workflows * Enable and implement safe AI‑assisted development across IDEs, CI/
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