What are the responsibilities and job description for the AI Cybersecurity Engineer (Data/Detection)- Onsite 4 days a week position at Calance?
Job Description Summary
The IT Cybersecurity Engineer is responsible for the technical design of IT cybersecurity architectural guidelines, guardrails and standards related to building a secure AI foundation, as well as the secure implementation of AI digital technologies across platforms and product lines. The primary responsibility is to ensure AI solutions are "secure by design", with a high focus on delivering secure foundational capabilities to enable AI adoption.
Job Description
Responsibilities include but are not limited to:
Enable secure AI adoption by ensuring secure-by-design principles and guardrails are incorporated in the AI digital capabilities across the enterprise.
Define cybersecurity requirements, guardrails and architectures for AI security solutions (AI Security Posture Management, Unsanctioned AI monitoring, API gateways, MCP Servers)
Establish AI cybersecurity governance for IT technologies across all technology functions
Lead security research proposals and proofs of concept for AI technologies
Consult as a subject matter expert on cybersecurity risk assessments for AI technologies
Selection Criteria
Functional Expertise: Experienced in AI cybersecurity, with demonstrated ability to apply a risk-based approach in designing, testing, and applying solutions for AI Security. Familiar with the practical application of cybersecurity benchmarks, ISO 42001, NIST AI RMF, OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, MITRE ATLAS, NIST 800-53 controls in this domain, as well as with foundational elements of risk analysis.
Domain Knowledge: Skilled with designing and implementing protection and monitoring for AI cybersecurity technologies. Technical experience in one or more cybersecurity domains, including, but are not limited to Application Security, Data Security, and Identity and Access Management. Fundamental to skilled proficiency in the areas of AI vulnerability assessment and exploitation, and an understanding of foundational architecture components needed to secure AI adoption and ability to identify and close gaps in cybersecurity protective measures.
Demonstrates ability to set clear expectations and align team members on shared goals and outcomes. Communicates technical ideas and concepts clearly and transparently. Solves complex problems both independently and as part of a team and seeks opportunities to challenge norms and encourages innovative thinking.
Ability to mentor and develop technical capabilities in others AI cybersecurity domain. Promotes a culture of secure and reliable solutions, instilling a "secure by design" mindset in all areas and empowering others to make risk-based decisions.
Required Qualifications
Minimum 5 years related work experience in cybersecurity with increasing levels of responsibility.
Technical experience in one or more cybersecurity domains, including, but are not limited to Application Security, Data Security, and Identity and Access Management.
General understanding of the cyber threat landscape, including cyber-criminal and cyber-espionage threats.
Previous experience administering cybersecurity technologies and/or supporting cybersecurity operations.
Preferred Education
Bachelor s degree or master s degree in Cybersecurity, Information Technology, Information Systems, or Computer Science
Certifications in IT Cybersecurity are highly preferred (e.g., GISP, GREM, ISSEP, OSCP or other similar certification)
Certifications in SAFe Scaled Agile or related scrum/agile project management framework is desirable.
Preferred Qualifications
Knowledge of industry-accepted cyber security frameworks such as NIST 800-53, MITRE ATT&CK, and the Cyber Kill Chain.
Experience in conducting and/or leading cybersecurity assessments (risk, vulnerability) and creating a detailed mitigation plan and recommendations to address gaps identified
Ability to influence and motivate teams, and work with a variety of disciplines, cultures, and environments.
Demonstrated ability to work effectively, and communicate effectively at all levels with operations, design, projects, vendors, peers, etc.
Communicates in a clear, concise, understandable manner both orally and in writing.
The IT Cybersecurity Engineer is responsible for the technical design of IT cybersecurity architectural guidelines, guardrails and standards related to building a secure AI foundation, as well as the secure implementation of AI digital technologies across platforms and product lines. The primary responsibility is to ensure AI solutions are "secure by design", with a high focus on delivering secure foundational capabilities to enable AI adoption.
Job Description
Responsibilities include but are not limited to:
Enable secure AI adoption by ensuring secure-by-design principles and guardrails are incorporated in the AI digital capabilities across the enterprise.
Define cybersecurity requirements, guardrails and architectures for AI security solutions (AI Security Posture Management, Unsanctioned AI monitoring, API gateways, MCP Servers)
Establish AI cybersecurity governance for IT technologies across all technology functions
Lead security research proposals and proofs of concept for AI technologies
Consult as a subject matter expert on cybersecurity risk assessments for AI technologies
Selection Criteria
Functional Expertise: Experienced in AI cybersecurity, with demonstrated ability to apply a risk-based approach in designing, testing, and applying solutions for AI Security. Familiar with the practical application of cybersecurity benchmarks, ISO 42001, NIST AI RMF, OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, MITRE ATLAS, NIST 800-53 controls in this domain, as well as with foundational elements of risk analysis.
Domain Knowledge: Skilled with designing and implementing protection and monitoring for AI cybersecurity technologies. Technical experience in one or more cybersecurity domains, including, but are not limited to Application Security, Data Security, and Identity and Access Management. Fundamental to skilled proficiency in the areas of AI vulnerability assessment and exploitation, and an understanding of foundational architecture components needed to secure AI adoption and ability to identify and close gaps in cybersecurity protective measures.
Demonstrates ability to set clear expectations and align team members on shared goals and outcomes. Communicates technical ideas and concepts clearly and transparently. Solves complex problems both independently and as part of a team and seeks opportunities to challenge norms and encourages innovative thinking.
Ability to mentor and develop technical capabilities in others AI cybersecurity domain. Promotes a culture of secure and reliable solutions, instilling a "secure by design" mindset in all areas and empowering others to make risk-based decisions.
Required Qualifications
Minimum 5 years related work experience in cybersecurity with increasing levels of responsibility.
Technical experience in one or more cybersecurity domains, including, but are not limited to Application Security, Data Security, and Identity and Access Management.
General understanding of the cyber threat landscape, including cyber-criminal and cyber-espionage threats.
Previous experience administering cybersecurity technologies and/or supporting cybersecurity operations.
Preferred Education
Bachelor s degree or master s degree in Cybersecurity, Information Technology, Information Systems, or Computer Science
Certifications in IT Cybersecurity are highly preferred (e.g., GISP, GREM, ISSEP, OSCP or other similar certification)
Certifications in SAFe Scaled Agile or related scrum/agile project management framework is desirable.
Preferred Qualifications
Knowledge of industry-accepted cyber security frameworks such as NIST 800-53, MITRE ATT&CK, and the Cyber Kill Chain.
Experience in conducting and/or leading cybersecurity assessments (risk, vulnerability) and creating a detailed mitigation plan and recommendations to address gaps identified
Ability to influence and motivate teams, and work with a variety of disciplines, cultures, and environments.
Demonstrated ability to work effectively, and communicate effectively at all levels with operations, design, projects, vendors, peers, etc.
Communicates in a clear, concise, understandable manner both orally and in writing.