Reinforcement Learning Engineer Jobs in Missouri

Job Summary:
Imperial PFS is seeking a Senior Security AI Engineer to strengthen their cybersecurity posture across various environments. This role involves designing and implementing security controls, evaluating AI systems for security risks, and enhancing threat detection capabilities.
Responsibilities:
• Design, implement, and maintain security controls across cloud, on-premises, and hybrid environments.
• Lead threat modeling, secure design reviews, and architecture assessments for new and existing systems.
• Develop and maintain secure configurations, baselines, and hardening standards (OS, cloud, network, identity).
• Partner with DevOps and engineering teams to embed security into CI/CD pipelines.
• Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows.
• Implement controls for model access, data privacy, prompt injection prevention, model poisoning, and supply chain risks.
• Establish AI governance practices aligned with NIST AI RMF, ISO/IEC 42001, and emerging regulatory requirements.
• Assess third-party AI tools for security and compliance risks.
• Enhance detection capabilities across SIEM, EDR/XDR, cloud telemetry, and identity systems.
• Lead investigations into complex security incidents, including zero-day exploitation and advanced persistent threats.
• Develop playbooks, automation, and response workflows to reduce detection and response times.
• Align security controls with frameworks such as NIST CSF, NIST 800-53, CIS Controls, ISO 27001, PCI DSS, and FFIEC.
• Conduct risk assessments, gap analyses, and control maturity evaluations.
• Support audits, regulatory reviews, and evidence collection.
• Lead vulnerability management, penetration testing coordination, and remediation prioritization.
• Implement and maintain CAASM/EASM tooling to identify shadow IT, unknown assets, and external exposures.
• Partner with infrastructure teams to ensure timely patching and configuration compliance.
• Mentor junior engineers and guide cross-functional teams on secure engineering practices.
• Communicate risks and recommendations clearly to technical and non-technical stakeholders.
• Drive continuous improvement of security processes, tooling, and automation.
• Produce architecture patterns and policies, and provide strategic guidance to engineering and leadership.
Qualifications:
Required:
• 7+ years of experience in cybersecurity engineering, architecture, or related roles.
• Strong knowledge of cloud security (AWS, Azure, or GCP).
• Expertise in identity and access management, network security, encryption, and secure coding practices.
• Hands-on experience with SIEM, EDR/XDR, vulnerability scanners, and cloud-native security tools.
• Deep experience in security architecture, cloud platforms, data security, and AI/ML systems.
• Background in identity and access management, network segmentation, application security, API hardening, securing containers and Kubernetes clusters, and protecting secrets and access tokens.
• Strong communication skills, cross-functional leadership ability, and familiarity with AI Risk and Governance Frameworks.
• Familiarity with AI/ML systems and defenses against threats including prompt injection, data poisoning, model extraction, and adversarial attacks.
• AI threat modeling, model governance, and data protection.
• Securing MLOps/LLMOps pipelines and implementing guardrails and monitoring.
• Leading AI red teaming engagements and integrating AI telemetry into security operations.
• Ensuring compliance with privacy and regulatory requirements.
• Using automation and tooling to monitor, detect, and respond to AI threats at scale.
• Understanding how models are trained, fine-tuned, evaluated, and deployed.
• Interpreting evaluation metrics and reasoning about model drift.
• Knowledge of base vs. fine-tuned models, zero-shot and few-shot behavior, embeddings and similarity search, and supervised vs. reinforcement learning.
Preferred:
• Experience securing LLMs, vector databases, model APIs, and AI agents.
• Knowledge of NIST AI RMF, ISO/IEC 42001, EU AI Act, or similar AI governance frameworks.
• Certifications such as CISSP, CCSP, OSCP, GIAC, or cloud security certifications.
• Experience with IaC security (Terraform, CloudFormation), container security, and Kubernetes.
• Familiarity with zero trust architectures and identity-centric security models.
Company:
Imperial PFS® offers premium financing solutions for the commercial insurance industry. Founded in 1977, the company is headquartered in Kansas City, USA, with a team of 501-1000 employees. The company is currently Late Stage.