AI Security Architect, Security - Seattle

Oracle


Data Center Software Architect (IC6)
Oracle • United States • via Indeed
2 days ago
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
15+ years of professional experience in software development, with strong expertise in system design, distributed systems, and automation platforms
10+ years of experience specifically building and delivering software solutions for datacenter environments, including DCMI, BMS, and datacenter automation
Proven track record of architecting large-scale, mission-critical systems with high availability and performance
5 more items(s)
Responsibilities
The Data Center Software Architect will be responsible for designing and leading the software architecture that powers Oracle’s next-generation datacenter infrastructure
This role will focus on developing scalable and resilient software systems that enable Datacenter Management Infrastructure (DCMI), Building Management Systems (BMS), and automation software
The Architect will partner with ngineering, operations, and datacenter delivery teams to define standards, ensure interoperability, and accelerate automation for datacenter operations worldwide
9 more items(s)
Job description
The Infrastructure Delivery Engineering team at Oracle is revolutionizing end-to-end data center planning, design, construction and operations by developing innovative software solutions. We aim to create a seamless bridge between digital and physical infrastructure, ensuring efficient management and automation. By standardizing data center building and implementing advanced analytics, we streamline data center design and construction, enabling rapid scalability. With a focus on automation and AI integration, IDE is poised to lead the industry in cost-effective, efficient data center management, making it accessible and adaptable for future technological advancements.

The Data Center Software Architect will be responsible for designing and leading the software architecture that powers Oracle’s next-generation datacenter infrastructure. This role will focus on developing scalable and resilient software systems that enable Datacenter Management Infrastructure (DCMI), Building Management Systems (BMS), and automation software. The Architect will partner with ngineering, operations, and datacenter delivery teams to define standards, ensure interoperability, and accelerate automation for datacenter operations worldwide.

Key Responsibilities

• Define and drive the software architecture strategy for datacenter management and automation platforms.

• Lead the design and integration of DCMI, BMS, and related automation software into cohesive datacenter management solutions.

• Provide technical leadership across global datacenter projects, ensuring software systems are scalable, secure, and fault tolerant.

• Collaborate with hardware, networking, and operations teams to align software design with datacenter requirements.

• Develop reference architectures, design patterns, and technical roadmaps for datacenter software.

• Evaluate and select technologies, frameworks, and tools for datacenter automation and monitoring.

• Mentor and guide software development teams, setting best practices in coding, testing, and deployment.

• Partner with vendors and external stakeholders to integrate third-party systems with Oracle’s datacenter platforms.

• Ensure compliance with enterprise standards, security policies, and regulatory requirements.

Basic Requirements

• 15+ years of professional experience in software development, with strong expertise in system design, distributed systems, and automation platforms.

• 10+ years of experience specifically building and delivering software solutions for datacenter environments, including DCMI, BMS, and datacenter automation.

• Proven track record of architecting large-scale, mission-critical systems with high availability and performance.

• Strong knowledge of modern programming languages (e.g., Java, C++, Go, Python) and cloud-native technologies (containers, Kubernetes, service mesh).

• Hands-on experience with APIs, integration frameworks, and microservices architectures.

• Deep understanding of monitoring, telemetry, and control systems used in datacenters.

• Strong communication skills with the ability to influence stakeholders and present to executives.

• Experience working in global, cross-functional organizations with complex datacenter environments.

Preferred Requirements

• Experience with datacenter physical infrastructure systems (power, cooling, low-voltage, networking).

• Knowledge of infrastructure-as-code, DevOps pipelines, and automated deployment strategies.

• Familiarity with large-scale cloud provider environments.

• Advanced degree in Computer Science, Electrical Engineering, or related field
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Qualtrics


AI Security Architect, Security - Seattle
Qualtrics • Seattle, WA, United States • via Qualtrics
1 day ago
Full–time
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Job highlights
Identified by Google from the original job post
Qualifications
Takes initiative, understanding the expected outcome and context to work entrepreneurially to achieve goals
Highly communicative and influences effectively, building trust at the team level and across stakeholders
Demonstrates strong analytical skills to proactively identify and mitigate complex AI/ML security risks
5 more items(s)
Benefits
Lead cross-functional security initiatives for cutting-edge AI/ML projects, expanding your influence and expertise across the organization
Access to ongoing professional development, certifications, and security training
Hybrid work model with purposeful in-office collaboration days
7 more items(s)
Responsibilities
Your work will proactively identify and mitigate unique security risks associated with the AI/ML lifecycle, including model integrity, data poisoning, adversarial attacks, and system robustness
Possesses a continuous learning mindset, staying current with rapidly evolving AI/ML technologies and security threats
Collaborates effectively with diverse technical and non-technical teams, fostering a security-conscious culture
8 more items(s)
Job description
At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

AI Security Architect, Security - Seattle

Why We Have This Role

We create software that the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. Serving over 20,000 clients globally, we are more than a platform—we are the creators and stewards of the Experience Management category. This AI Security Architect role is essential to designing, building, and maintaining robust security architectures for our Artificial Intelligence (AI) and Machine Learning (ML) systems and their underlying platforms. Your work will proactively identify and mitigate unique security risks associated with the AI/ML lifecycle, including model integrity, data poisoning, adversarial attacks, and system robustness.

How You’ll Find Success
• Takes initiative, understanding the expected outcome and context to work entrepreneurially to achieve goals.
• Highly communicative and influences effectively, building trust at the team level and across stakeholders.
• Demonstrates strong analytical skills to proactively identify and mitigate complex AI/ML security risks.
• Possesses a continuous learning mindset, staying current with rapidly evolving AI/ML technologies and security threats.
• Collaborates effectively with diverse technical and non-technical teams, fostering a security-conscious culture.
• Exhibits a passion for solving challenging problems and driving innovative security solutions for AI/ML systems.

How You’ll Grow
• Lead cross-functional security initiatives for cutting-edge AI/ML projects, expanding your influence and expertise across the organization.
• Mentor junior security engineers and contribute to the development of Qualtrics' overall AI security strategy and best practices.
• Engage with industry leaders and participate in conferences, contributing to the broader AI security community and bringing back valuable insights.
• Drive the adoption of new security technologies and methodologies, continuously evolving our defenses against emerging AI threats.

Things You’ll Do
• Design and architect end-to-end security for the entire ML/AI pipeline, developing reference architectures for various deployment patterns, and ensuring compliance
• Perform threat modeling for AI/ML systems, identifying vulnerabilities in data poisoning, model evasion, extraction, and integrity; define and implement data privacy, DLP, and encryption standards for sensitive training and inference data; and collaborate with Data Scientists and ML Engineers to integrate security-by-design principles from initial concept.
• Implement and monitor technical controls for model integrity, governance, and AI security, including access control and bias detection.
• Ensure AI systems comply with industry standards, privacy regulations (e.g., GDPR, CCPA), and internal Responsible AI policies, working with Legal and Compliance to document and validate technical adherence to AI governance frameworks.

What We’re Looking For On Your Resume
• Minimum BA/BS degree. Advanced degree (Masters, PhD) in Computer Science, Data Science, Cyber Security, or a related quantitative field is preferred.
• Minimum of 10 years in Information Security, with at least 4 years focused on securing AI/ML systems.
• Deep understanding of the ML/AI lifecycle and its associated security risks.
• Expertise in cloud security platforms (AWS, Azure, or GCP) and services related to AI/ML (e.g., SageMaker, Vertex AI).
• Strong knowledge of data security principles, including encryption, masking, and tokenization.
• Deep understanding of AI specific threats, including adversarial ML, data poisoning, prompt injection and model inversion and inference attacks and associated defensive measures
• Strong knowledge of application security architecture best practices and architecture patterns
• Relevant security certifications such as CISSP, CSSLP, or specialized AI security certifications are preferred.
• Knowledge of AI related security related frameworks and standards globally
Excellent communication skills, with the ability to translate complex security concepts into clear requirements for both technical and non-technical audiences.
• Proven ability to work collaboratively across diverse teams (Data Science, Engineering, Product, Legal).
• Strong problem-solving skills and a proactive approach to emerging AI security challenges.

What You Should Know About This Team
• The Security Architecture team is a collaborative, high-performing group dedicated to protecting Qualtrics and its customers through proactive risk management and compliance.
• We work closely with legal, security, product, and customer success teams, as well as external auditors and partners.
• The team embraces strategic risk-taking and continuous learning.
• You will be positioned as a key enabler of business success through security assurance and compliance excellence.

Our Team’s Favorite Perks and Benefits
• Access to ongoing professional development, certifications, and security training.
• Hybrid work model with purposeful in-office collaboration days.
• Inclusive culture committed to diversity, equity, and belonging.
• Competitive health, wellness, and financial benefits.
• Frequent team events, creative office spaces, and a strong emphasis on work/life integration.

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.

Washington State Annual Pay Transparency Range
$202,500—$290,000 USD

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