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AI Security Engineer II
Job in
Des Moines, Polk County, Iowa, 50319, USA
Listed on 2026-06-03
Listing for:
Anveta, Inc.
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Cybersecurity, AI Engineer
Job Description & How to Apply Below
Des Moines (Hybrid), Open to relocation candidates
Principle Financial Group
12 Months - Looking to possibly convert this person after the contract
Interview Process 1 Interview
Top 3 Required Technical Skills
- Experience building AI-enabled automation solutions (LLMs, agentic AI, workflow automation)
- Strong programming experience (Python, Java) and integration into CI/CD pipelines
- Experience with IAM, SSO automation, and security workflow optimization
- Experience with AWS (Bedrock, cloud-native services)
- Exposure to regulated environments (NIST, ISO, SOX, PCI)
- Background in Information Security, specifically IAM
- Experience with policy-as-code and automated control enforcement
- Build and scale AI-driven security automation within Information Security & Risk (ISR)
- Initial focus on Identity & Access Management (IAM), expanding across ISR teams
- Agile / Iterative
- Newly formed team within Information Security & Risk (ISR)
- High-impact, fast-moving environment focused on innovation and automation
- Strong collaboration across security, engineering, and business teams
- Looking for self-starters who can operate with ambiguity and drive initiatives independently
- Not required, but experience in regulated environments is highly valued
The Security Engineer II - AI will play a key role in advancing security operations through AI, automation, and workflow optimization. This individual will partner with security and engineering leaders to identify opportunities, design solutions, and deliver AI-enabled automation that improves efficiency, consistency, and security posture. The role begins with a focus on IAM and expands across broader security domains, emphasizing hands-on development, innovation, and enterprise-scale impact.
Key Responsibilities
- Design, build, and deploy AI-enabled security automation solutions
- Identify and eliminate manual processes through intelligent automation
- Integrate AI workflows into CI/CD pipelines and enterprise systems
- Develop scalable workflows for IAM, SSO provisioning, and application onboarding
- Apply policy-as-code and automated remediation for security and compliance
- Partner with cross-functional teams to translate business needs into technical solutions
- Leverage LLMs and agentic AI to enhance security operations
- Support governance, risk, and data protection initiatives
- Contribute to architecture, design reviews, and technical standards
- Coach and enable teams to adopt AI-driven processes
- Improve speed, auditability, and operational resilience across security teams
- Associate's or Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 8+ years of experience in security, engineering, or technology roles
- Hands-on experience building AI-enabled automation solutions end-to-end
- Experience working with LLMs and AI frameworks (including tool/function calling)
- Proven experience building agentic AI solutions
- Experience integrating AI workflows into enterprise engineering environments
- Strong understanding of security operations, governance, and risk
- Strong communication skills with ability to translate business requirements into technical solutions
- Ability to operate in fast-paced, ambiguous environments
- Strong collaboration and stakeholder management skills
- Experience with AWS (including Bedrock)
- Experience with Git Hub and Git Hub Copilot
- CI/CD pipeline integration experience
- Experience with IAM and SSO automation
- Experience applying AI in security use cases (anomaly detection, UEBA, automated remediation)
- Experience working in regulated environments and implementing compliance frameworks
- Strong understanding of policy-as-code and automated controls
- Experience contributing to design reviews, architecture discussions, and code reviews
- Strong innovation mindset with ability to drive process improvements
- Cloud: AWS
- Languages:
Python, Java - Tools:
Git Hub, Git Hub Copilot, Amazon Bedrock - Focus Areas: AI/LLMs, agentic AI, IAM, CI/CD integration, automation workflows
- Practical AI engineer with a strong automation mindset
- Experience applying AI to real-world business problems (not just experimental use cases)
- Hands-on builder who can also guide teams through adoption
- Strong collaborator across security, engineering, and business teams
- Self-starter who can drive initiatives with minimal oversight
- Adaptable and continuously learning in evolving AI and security landscapes
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