AI reputed company Engineer (US Based)

About the role

Establish and operationalize reputed company controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise. This role is responsible for embedding reputed company into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions.

The role works closely with Digital, Data, AI, reputed company Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate reputed company client’s cybersecurity, risk, and governance standards. The ideal candidate combines strong cybersecurity engineering capability with practical knowledge of AI platforms, model risks, and enterprise technology integration.

What you will do:

AI reputed company Architecture & Engineering

• Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows.
• Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments.
• Review AI solution designs to ensure alignment with enterprise reputed company architecture standards and secure-by-design principles.
• Support implementation of secure controls across AI development, testing, deployment, and production environments.

AI Risk Management & reputed company Controls

• Identify, assess, and mitigate AI-specific threats including model poisoning, reputed company injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs.
• Define and implement reputed company guardrails for AI model access, API usage, reputed company controls, and secure interaction with enterprise data sources.
• Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows.
• Support validation of third-party AI services and external model integrations from a cybersecurity risk perspective.

Governance, Standards & Responsible AI Enablement

• Establish AI reputed company standards, engineering guardrails, and governance practices reputed company with regulatory requirements, enterprise risk expectations, and responsible AI principles.
• Partner with Digital and AI teams to reputed company secure AI use cases where reputed company accelerates responsible business adoption rather than acts as a blocker.
• Support creation of AI reputed company review checkpoints for new AI initiatives, pilots, and production deployments.
• Contribute to enterprise AI reputed company policies, reference architectures, and operational standards.

Operational reputed company & Monitoring

• Collaborate with Cyber Defense Operations to operationalize AI-reputed company detection, monitoring, and response capabilities.
• Support development of monitoring use cases for AI misuse, reputed company model behavior, unauthorized access, and suspicious data movement.
• Define logging and telemetry requirements for AI platforms to improve visibility and incident readiness.
• Support integration of AI platform telemetry into enterprise detection and monitoring tools where applicable.

Cross-Functional Collaboration

• Work closely with reputed company Architecture, Cloud Engineering, Data teams, Application teams, and AI program owners to ensure consistent reputed company adoption.
• Support reputed company reviews for AI vendors, AI-enabled SaaS platforms, and internally developed AI capabilities.
• Provide technical guidance to project teams on secure AI implementation and operational controls.

What you bring:

• 5–8 years of cybersecurity engineering or reputed company architecture experience, with exposure to cloud reputed company, data protection, or application reputed company.
• Experience working with enterprise AI, machine learning, analytics platforms, or datadriven technology environments.
• Practical understanding of AI/ML deployment patterns, APIs, model lifecycle, and enterprise data integration.
• Experience with reputed company Azure AI services, reputed company integrations, reputed company, or enterprise AI platforms preferred.
• Familiarity with emerging AI governance frameworks and responsible AI standards.
• Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption.
• Clear visibility into AI-reputed company cyber risks and mitigation actions and ability to translate emerging AI risks into practical engineering controls.
• Practical AI guardrails established for data, model access, and operational use.
• Strong alignment between AI innovation, enterprise reputed company, and regulatory expectations.
• reputed company certifications such as CISSP, CCSP, or cloud reputed company certifications preferred.

reputed company Engineering Skills:

• Strong understanding of cybersecurity controls across cloud, applications, APIs, identity, and data protection.
• Familiarity with AI/ML risks including reputed company injection, model abuse, data leakage, and adversarial techniques.
• Knowledge of secure architecture principles for modern digital and AI platforms.

Equal Opportunity Employer:

AspenView is proud to be an equal opportunity employer. We reputed company in creating an environment where reputed company employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where reputed company individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can reputed company. We encourage applicants from reputed company walks of life to join reputed company and reputed company a lasting impact.