Senior Product Security Engineer: AI/ML Cloud Lead (Remote)

AlphaSense, Inc.; Canada; Hybrid; CAD 134,000 - 184,000; Full time

Benefits offered by this job

Competitive compensation

Generous benefits

Career growth opportunities

Job summary

AlphaSense, Inc. is seeking a Staff Product Security Engineer to lead the design and implementation of secure, scalable products spanning AI, data, and cloud-native systems.

You’ll work with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle. You’ll focus on AI/ML security, secure development practices, and container/cloud-native protection, defining architecture, automation, and frameworks for secure, intelligent products at scale,

Qualifications

• 7+ years of experience in product or application security engineering.
• Deep understanding of secure SDLC, threat modeling, and secure architecture design.
• Proven expertise with AWS cloud security concepts and best practices.
• Strong experience with container security, orchestration, and runtime protection.
• Experience securing AI/ML pipelines, data workflows, or model-serving infrastructure.
• Familiarity with DevSecOps and continuous integration/deployment environments.
• Familiarity with encryption fundamentals, including TLS/mTLS, key management, and secrets handling best practices.
• Demonstrated ability to drive cross-functional security initiatives, partnering with engineering, product, and legal teams to embed security requirements into roadmaps, influence architectural decisions, and align stakeholders across organizational boundaries.

Responsibilities

• Embed robust security practices throughout the software and AI development lifecycle (SDLC).
• Lead secure design reviews, threat modeling, and risk assessments for AI-driven products, APIs, and backend services.
• Partner with engineering and product teams to ensure security, privacy, and compliance by design.
• Build and maintain security automation and governance frameworks that integrate seamlessly into development workflows.
• Architect and enforce security controls for AI/ML systems, including model training, data pipelines, and inference environments.
• Identify and mitigate AI-specific attack vectors such as data poisoning, model inversion, prompt injection, and model theft.
• Collaborate with governance and compliance teams to align with ethical AI principles and frameworks like NIST AI RMF and the EU AI Act.
• Implement model provenance, integrity, and auditability controls to ensure responsible and secure AI operations.
• Partner with DevOps and SRE teams to secure service meshes, container networking, and secrets management.
• Drive software supply chain security, including artifact integrity, dependency management, and vulnerability reduction.
• Build internal frameworks for continuous assurance and real-time vulnerability management.
• Define and maintain reference security architectures for microservices, APIs, and AI-powered systems deployed in the cloud.
• Mentor teams on secure coding, containerization best practices, and AI risk management.
• Promote a security-first culture through advocacy, documentation, and training.
• Represent product security in cross-functional initiatives and leadership discussions.

Skills

Security engineering

Threat modeling

Secure SDLC

AWS security

Container security

AI/ML security

DevSecOps

Encryption fundamentals

Cross-functional collaboration

Compliance awareness

Job description

AlphaSense, Inc. is seeking a Staff Product Security Engineer to lead the design and implementation of secure, scalable products spanning AI, data, and cloud-native systems.

You’ll work with engineering, data science, and infrastructure teams to embed security by design throughout the product lifecycle. You’ll focus on AI/ML security, secure development practices, and container/cloud-native protection, defining architecture, automation, and frameworks for secure, intelligent products at scale,