
201 - 500 Mitarbeiter
Gegründet 1989
🔒 Cybersecurity
📚 Bildung
☁️ SaaS
Cybersecurity • Education • SaaS
ISC2 ist eine führende Organisation, die sich der Förderung der Bildung und Zertifizierung im Bereich der Cybersicherheit widmet. Sie bieten verschiedene Programme für Personen in unterschiedlichen Phasen ihrer Cybersicherheitskarriere an, einschließlich Prüfungen zur Zertifizierung, Schulungsressourcen und Möglichkeiten zur Führungskräfteentwicklung. ISC2 setzt sich auch für ihre Mitglieder ein und fördert die Vielfalt im Bereich der Cybersicherheit, indem sie Fachleute und Gemeinschaften stärkt.
🕒 vor 1 Tag
🗣️🇺🇸🇬🇧 Englisch erforderlich
Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

201 - 500 Mitarbeiter
Gegründet 1989
🔒 Cybersecurity
📚 Bildung
☁️ SaaS
Cybersecurity • Education • SaaS
ISC2 ist eine führende Organisation, die sich der Förderung der Bildung und Zertifizierung im Bereich der Cybersicherheit widmet. Sie bieten verschiedene Programme für Personen in unterschiedlichen Phasen ihrer Cybersicherheitskarriere an, einschließlich Prüfungen zur Zertifizierung, Schulungsressourcen und Möglichkeiten zur Führungskräfteentwicklung. ISC2 setzt sich auch für ihre Mitglieder ein und fördert die Vielfalt im Bereich der Cybersicherheit, indem sie Fachleute und Gemeinschaften stärkt.
• Define and document enterprise AI use cases, business value drivers, and target delivery models aligned with organizational goals and objectives • Develop and maintain current-state and target-state AI architecture across the enterprise, including platforms, data flows, integration patterns, security controls, and governance requirements • Lead build-versus-buy evaluations for AI platforms and services and provide recommendations • Establish reusable AI architecture patterns, reference models, and implementation standards • Guide proof-of-concept and pilot strategies to validate solution feasibility, technical design, business value, and operational readiness • Drive scalable AI operations through monitoring, telemetry, observability, governance, and change management across the AI lifecycle • Partner with architecture, engineering, data, security, product, and business stakeholders to translate requirements into secure, reliable, and governed AI solutions • Define key deliverables including AI architecture models, proof-of-concept strategies, and delivery patterns • Perform miscellaneous duties as required
• Bachelor’s degree in Computer Science, Information Systems, Data Science, Software Engineering, or a related technical field required • 10+ years of progressive experience in enterprise architecture, software engineering, data/analytics, or AI/ML solution delivery • Recent hands-on experience designing and operationalizing AI solutions • Deep knowledge of machine learning, generative AI, large language models, prompt design, RAG, model evaluation, and responsible AI • Hands-on proficiency with Python • Familiarity with PyTorch, TensorFlow, scikit-learn, LangChain or Semantic Kernel, APIs, and vector databases • Expertise in MLOps/LLMOps, including CI/CD, model deployment, observability, telemetry, drift and performance monitoring, cost optimization, and lifecycle management • Understanding of AI security, privacy, governance, and compliance, including access controls, data protection, auditability, risk management, bias mitigation, and human-in-the-loop controls • Ability to conduct build-versus-buy assessments, evaluate vendors and platforms, define reference architectures, and establish reusable design patterns and standards • Ability to translate business priorities into technical roadmaps, solution designs, proof-of-concept strategies, and executive-ready recommendations • Strong analytical and management capabilities, including cross-functional facilitation, change management, and mentoring delivery teams • Strong architecture experience across cloud and enterprise platforms using Azure, AWS, or Google Cloud • Experience with data architecture and engineering, including data pipelines, ETL/ELT, structured and unstructured data, feature or semantic layers, and enterprise application/API integration patterns • Experience working with engineering, data, security, product, legal/compliance, and business stakeholders • Relevant cloud, architecture, or AI certifications preferred • Master’s degree preferred • Ability to work normal and extended business hours when necessary, including occasional evenings and weekends • Availability for on-call needs • Up to 10% travel may be required • This position is not available to residents of California
• Eligible to participate in ISC2's annual discretionary bonus program • Comprehensive benefits package • Remote work environment • Up to 10% travel may be required
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