Principal Cloud and AI Security Architect

Florida Blue•United States,

8h•$138,200 - $224,600

About The Position

The Principal Cybersecurity Architect is responsible for driving enterprise-wide technology security strategy and providing technical expertise to business areas and project teams with an emphasis on implementation of innovative, leading-edge security technology solutions. The ideal candidate will display strategic leadership, collaboration, and accomplishments, with a proven track record of accomplishments and experience leading the design and deployment of AI Architectures (both On-Premise and Public Cloud) and driving and deploying Secure Cloud Adoption on an enterprise scale from Foundational Security Controls to Cloud migrations. Extensive experience migrating from a large scale onprem datacenter to the cloud while maintaining the proper levels of security, compliance and regulatory adherence. The role requires cross-functional communication, bridging gaps between data scientists, engineers, AI Architects, Cloud Architects, Data Protection professionals, legal, and executive teams. Security evangelism, promoting secure-by-design principles across AI and Cloud initiatives, and mentorship & governance, leading security teams and establishing governance frameworks for AI and Public Cloud adoption are also key aspects of this position.

Requirements

6+ years related work experience as an Architect working on progressively complex IT and Cybersecurity projects
Related Bachelor’s degree or additional related equivalent work experience in an IT related field
Required Licenses and Certifications: CISSP - Cert Information Systems Security Prof (within 180 Days)
Expert proficiency in creating architectural designs for gradually complex designs
Expert consulting, negotiating, communicating, consensus building, presentation and facilitation skills
Mastery of a variety of hardware platforms including mainframes, distributed platforms, desktops, and mobile devices.
Expert-level knowledge and experience applying current and emerging technology solutions and trends including security and regulatory industry requirements
Demonstrated decision-making skills related to implementing architecture and design
Knowledge of Project Management Methodologies
Extensive knowledge of development practices of security technologies
Exceptional leadership skills demonstrated through project or technical leadership experience
Expert-level ability to understand overall IT strategy and apply/implement IT strategy in assigned projects/initiatives
Expert-level ability to communicate highly complex technical information clearly and articulately at all levels and audiences.
Extensive experience with defense in depth, trust levels, privileges and permissions

Nice To Haves

2 or more years cloud security experience
Identity Access Management experience with employee and consumer identity security
Experience securing API’s
Health care industry related experience
Experience using Agile methodology

Responsibilities

Drive enterprise-wide technology security strategy.
Provide technical expertise to business areas and project teams.
Implement innovative, leading-edge security technology solutions.
Lead the design and deployment of AI Architectures (both On-Premise and Public Cloud).
Drive and deploy Secure Cloud Adoption on an enterprise scale from Foundational Security Controls to Cloud migrations.
Migrate from a large scale onprem datacenter to the cloud while maintaining proper security, compliance, and regulatory adherence.
Bridge gaps between data scientists, engineers, AI Architects, Cloud Architects, Data Protection professionals, legal, and executive teams.
Promote secure-by-design principles across AI and Cloud initiatives.
Lead security teams and establish governance frameworks for AI and Public Cloud adoption.
Understand AI/ML Risks including adversarial attacks, model poisoning, data drift, and bias.
Provide leadership experience with connecting User Interfaces to LLMs, Retrieval-Augmented Generation “RAG” solutions, Agent to Agent architecture design, and securing Model Context Protocol “MCP” deployments, both on-premise and in the cloud.
Secure data pipelines, training environments, inference APIs, and monitoring systems.
Design architectures that enforce least privilege and secure identity across AI and Cloud systems.
Secure AI workloads across AWS and Azure, and on-prem environments.
Lead the Secure design of Cloud Foundational Controls across AWS and Azure.
Lead architectural requirements and gain consensus on the use of reusable, scalable patterns for secure AI integration.
Secure AI APIs and lead design discussions on strategies to protect data within AI solutions.
Manage data access controls, design secure MCP solutions and prevent data leakage.
Design secure integration points between AI systems and enterprise platforms.
Drive an Enterprise on Public Cloud Foundational controls and take a leadership role on Secure Cloud migrations from on-Premise to Public Cloud solutions.
Design procedures for organization wide governance on the usage/approval of AI Models.
Ensure familiarity with healthcare regulations such as HIPAA, NIST and emerging AI and Cloud governance frameworks.
Design systems that meet audit requirements, mitigate compliance risks, and ensure Public Cloud environments maintain Audit Readiness.

Benefits

Medical, dental, vision, life and global travel health insurance
Income protection benefits: life insurance, short- and long-term disability programs
Leave programs to support personal circumstances
Retirement Savings Plan including employer match
Paid time off, volunteer time off, 10 holidays and 2 well-being days
Additional voluntary benefits available
Comprehensive wellness program
Competitive pay
Opportunities for incentive or commission compensation
Regular annual reviews with pay for performance considerations for base pay increases