Senior Security Architect, AI

🔥 23 hours ago

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Paylocity

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $10M Venture Round - Paylocity on 2008-05

HR Tech • SaaS • B2B

Paylocity is a provider of cloud-based payroll and human capital management software for businesses of all sizes. Its platform includes payroll, HR, time & labor, benefits administration, talent management (recruiting, onboarding, performance, learning), employee experience tools and AI-driven features, and it serves small businesses through enterprises as well as partners such as accountants, brokers, and tech partners.

📋 Description

• Define how AI and Machine Learning systems are securely designed, deployed, and governed across the enterprise and Paylocity product portfolio • Serve as AI/ML security subject matter expert and trusted advisor across Product & Technology, Data Science, Procurement, Enterprise Applications, Legal, and Privacy • Maintain confidentiality, integrity, and availability of AI/ML platforms, models, data pipelines, and connected systems and data • Develop and operationalize AI security risk assessment frameworks, intake tools, scoring logic, control mappings, and assessment automation • Represent AI security on the AI Governance Committee and Architecture Review Board • Lead AI/ML threat modeling and create secure design patterns and reference architectures for LLM, RAG, and agentic AI workflows • Evaluate, pilot, and operationalize AI security tooling such as LLM firewalls, prompt injection defenses, AI-SPM, red-teaming platforms, and AI-BOM tools • Lead security reviews and architectural guidance for product and corporate AI use cases • Integrate AI security guardrails and testing into the Product Development Lifecycle and CI/CD pipelines • Partner with cloud, application, and DevSecOps teams to deliver hardened AI infrastructure patterns across Snowflake, Azure OpenAI, AWS Bedrock/SageMaker, and GCP Vertex AI • Align AI capabilities with applicable regulatory and industry frameworks and support audit readiness and evidence generation • Communicate AI security risks, trends, and architectural decisions to executives, governance committees, architecture boards, and the Board • Support product security, threat management, DevSecOps, incident response, and M&A due diligence activities as needed

🎯 Requirements

• Bachelor’s degree in information security, Computer Science, Information Science, Data Science, or a related field • 10+ years of experience in Security Architecture, Information Security, or related technical roles • At least 2+ years specifically focused on AI/ML, Generative AI, or Agentic AI security • Demonstrated experience architecting and securing AI/ML systems and supporting platforms • Deep understanding of at least one relevant security framework or methodology, including NIST CSF, NIST AI RMF, NIST RMF, SP 800-53, MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, OWASP ML Top 10, STRIDE, DREAD, or PASTA • Experience designing reusable AI security frameworks and influencing cross-functional teams and leadership • Working knowledge of financial services, FinTech, or HR-tech regulatory environments and sensitive payroll, HR, and benefits data • Experience evaluating current and emerging AI technologies and recommending secure architecture solutions • Excellent written and verbal communication skills for technical and executive audiences • Risk-based mindset balancing innovation and security • Ability to operate independently and drive initiatives from concept to execution • Hands-on knowledge of AI/ML platforms and frameworks such as OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock/SageMaker, Google Vertex AI, Hugging Face, LangChain, LangGraph, vector databases, and Snowflake Cortex • Knowledge of AI security frameworks and standards including NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, OWASP ML Top 10, MITRE ATLAS, Google SAIF, or Databricks AI Security Framework • Knowledge of GenAI, RAG, and agentic AI security, including prompt injection defenses, output filtering, access controls, data leakage prevention, provenance, agent identity, A2A security, PKI, API security, service mesh, and MCP security • Cloud security experience across AWS, Azure, and GCP, including Kubernetes, container orchestration, and cloud workload protection • Identity and access management knowledge, including Active Directory, PAM, PKI, SailPoint/IAP, non-human identity, and secrets management • Data protection knowledge, including AI data classification, labeling, DLP, tokenization, and PII/PHI handling • Monitoring and response knowledge, including SIEM/SOAR, AI/LLM observability, model drift and abuse monitoring, Shadow AI detection, and WAFs • DevSecOps and automation experience embedding SAST, DAST, APE, and secrets scanning into CI/CD • Scripting experience in Python, PowerShell, or Bash • Ability to sit for extended periods, typically 7–8 hours per day • Ability to operate computers and phone systems, type, and use multiple software programs simultaneously • CISSP, CISM, specialized AI/ML security, cloud security, AI governance, architecture, or risk management certifications preferred

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) match • Perks supporting employees, families, and finances • Career development opportunities • Annual bonus eligibility • Restricted stock unit grant based on individual performance • Reasonable accommodations for applicants and employees with disabilities