Wellmark, Inc.

Insurance

LeadSecurityEngineer

$155–215k ~AI est. Des Moines, Iowa, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Insurance
Problems you'll solve

Problem-solving; Analytical skills; Root cause analysis

Eligibility Requirements

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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