AI / Cloud Security Architect
The Security Architect – AI, Cloud & Secure Engineering is responsible for designing and implementing secure architecture across AI platforms, cloud infrastructure, and modern software engineering environments. This role partners closely with engineering, cloud operations, platform, and data science teams to embed security into AI systems, cloud native architectures, Infrastructure as Code (IaC), and DevSecOps pipelines supporting both academic and business systems.
This is a hands on, high impact role that balances business priorities, emerging cyber threats, and secure engineering practices. The architect establishes secure by design patterns, evaluates emerging technologies, mentors technical teams, and influences enterprise security strategy across multi-cloud platforms, AI/ML workloads, and modern application architectures.
The architect balances business priorities, emerging cyber threats, and secure engineering practices to ensure the confidentiality, integrity, availability, and responsible use of enterprise data and AI systems. This role will establish secure design patterns, evaluate emerging technologies, and guide development teams in implementing secure-by-design solutions across multi-cloud platforms, AI/ML workloads, and modern application architectures.
The position also mentors security and engineering teams while influencing enterprise security strategy for cloud platforms, AI solutions, automation, and software delivery pipelines.
What You’ll Do
Architecture & Security Strategy
Define, maintain, and evolve enterprise security architecture for AI systems, cloud platforms, and modern application environments
Develop and document secure design patterns for microservices, APIs, containerized workloads, and serverless architectures
Establish security standards and reference architectures for Infrastructure as Code (IaC) and automated deployment pipelines
AI & Data Security
Design and implement security controls for AI, machine learning, and generative AI platforms
Identify and mitigate risks related to data leakage, model poisoning, prompt injection, and AI supply chain vulnerabilities
Partner with data science and analytics teams to support secure model training, deployment, and governance
Help establish governance, monitoring, and controls for the responsible and secure use of enterprise AI
Cloud Security & Secure Platforms
Architect secure solutions across multicloud environments (AWS, Azure, GCP)
Design security architectures covering identity and access management, network segmentation, data protection, workload security, and monitoring
Build and socialize security patterns for Kubernetes, containers, APIs, and distributed systems
Collaborate with cloud and platform teams to ensure secure implementation of infrastructure and services
DevSecOps & Secure Software Development
Integrate security throughout the CI/CD pipelines and the full software development lifecycle (SDLC)
Implement automated security controls including SAST, DAST, SCA, IaC scanning, container security, and runtime protections
Provide architectural guidance on secure coding, API security, and microservices security
Promote shift left and secure-by-design development practices
Risk Management, Leadership & Collaboration
Conduct architecture reviews, threat modeling, and risk assessments for new and existing systems
Serve as a subject matter expert during security incidents affecting cloud or application environments
Mentor engineers and architects on secure architecture and engineering best practices
Contribute to enterprise security standards, policies, and long-term technical roadmaps
What We’re Looking For
Experience & Background
6+ years of experience in security engineering, cloud engineering, application security, or architecture
Demonstrated experience securing cloud native and AI enabled environments
Strong architectural thinking with the ability to design secure, scalable solutions
Ability to translate business and platform requirements into practical security architectures
Proven ability to collaborate closely with engineering, cloud, and platform teams and communicate architectural decisions effectively
Comfort operating in fast paced, evolving technical environments
Required Technical Expertise
Cloud Platforms: AWS, Azure, and/or Google Cloud Platform (GCP)
Secure cloud and application architecture
Infrastructure as Code (IaC)
Kubernetes and container security
CI/CD platforms
Identity and Access Management (IAM) and Zero Trust
Data protection, encryption, and secrets management
API and microservices security
Threat modeling and vulnerability management
Education
Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or a related field or equivalent professional experience
Certifications (Preferred)
CISSP, CCSP, or equivalent security certifications
Cloud security certifications (AWS, Azure, or GCP)
Kubernetes or container security certifications
AI/ML security or data security certifications (a plus)
Other
- Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%).
- Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
- If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
- Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
- This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
- Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
- Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
- Able to access information using a computer.
- Other essential functions and marginal job functions are subject to modification.
#LI-JD1
SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.
Careers - Our Benefits, Strategic Education, Inc
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.