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About the Role
We are seeking a Senior Application Security Architect to design, review, and govern security architectures for enterprise applications, APIs, cloud-native platforms, and AI-enabled systems. This role is critical to protecting the firm's applications, AI capabilities, data, and digital platforms, ensuring security is embedded throughout the software and AI development lifecycles.
Responsibilities
- Design and review secure architectures for enterprise applications, APIs, cloud-native platforms, AI-enabled systems, and emerging technologies.
- Define and maintain application security and AI security standards, architecture patterns, and security requirements.
- Conduct security architecture reviews, threat modeling exercises, and design assessments for applications, APIs, and AI solutions.
- Partner with application development, cloud engineering, AI engineering, and cybersecurity teams to embed security controls throughout the software and AI development lifecycles.
- Provide subject matter expertise in secure coding, application security testing, API security, authentication, authorization, AI security, and data protection.
- Assess security risks associated with applications, AI models, training data, prompts, agents, integrations, and third-party AI services.
- Drive adoption of secure-by-design, Zero Trust, DevSecOps, and AI security best practices across the enterprise.
- Evaluate emerging application security and AI security threats, technologies, and industry standards.
- Support enterprise application modernization, cloud transformation, DevSecOps, and AI adoption initiatives.
- Work effectively with application development, AI engineering, cloud engineering, architecture, and cybersecurity teams in a global environment.
Requirements
- 14 years or more of experience in application security, software engineering, security architecture, AI security, or related technology disciplines with at least 8 years of hands-on cybersecurity experience preferred.
- Demonstrated experience designing and securing enterprise-scale applications across cloud, SaaS, hybrid, and on-premises environments.
- Deep expertise in secure software development lifecycle (SSDLC), OWASP Top 10, API security, secure coding practices, and application security testing methodologies.
- Strong understanding of AI/ML architectures, LLMs, Retrieval-Augmented Generation (RAG), agentic systems, model security, prompt security, and responsible AI principles.
- Experience with cloud-native technologies, containers, Kubernetes, CI/CD pipelines, DevSecOps practices, and Infrastructure as Code (IaC).
- Experience conducting threat modeling, architecture reviews, penetration test remediation, and risk assessments for applications and AI-enabled solutions.
- Familiarity with SAST, DAST, IAST, software composition analysis (SCA), API security testing, model validation, and AI security assessment techniques.
- Professional certifications such as CISSP, CSSLP, CCSP, TOGAF, SABSA, AWS Security Specialty, Azure Security Engineer, AI Security, or equivalent certifications are highly desirable.
- Experience within financial services or other highly regulated industries is preferred.
Skills
- Application security
- Secure software development
- Modern application architectures
- AI/ML security risks
- Large Language Models (LLMs)
- Agentic AI systems
- Prompt injection
- Model misuse
- AI supply chain security
- Cloud-native applications
- APIs
- Microservices
- Containers
- Kubernetes
- AI-enabled platforms
- Analytical skills
- Problem-solving skills
- Risk assessment skills
- Communication skills
- Stakeholder management skills
- Secure coding
- Application security testing
- API security
- Authentication
- Authorization
- AI security
- Data protection
- Threat modeling
- Secure-by-design
- Zero Trust
- DevSecOps
- Responsible AI principles
- SAST
- DAST
- IAST
- Software composition analysis (SCA)
- API security testing
- Model validation
- AI security assessment techniques
- Cloud transformation
- AI adoption
Location
- State Street's hybrid work model
Work Type
- Hybrid
- Standard business hours with flexibility to support global stakeholders across multiple time zones
Experience Level
- Senior
Education Level
- Degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related discipline.
Salary/Compensations
- $120,000 - $202,500 Annual
Benefits
- Retirement savings plan (401K) with company match
- Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
- Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
- Access to our Employee Assistance Program
- Incentive compensation including eligibility for annual performance-based awards
- Eligibility for certain tax advantaged savings plans
About the Company
- Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
- We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
- We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
- As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.
- Join us in shaping the future.
Equal Opportunity
- As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.