דרושים Cx Amer Datacenter Network Css ב-Cisco ב-United States, Atlanta

• Serve as the technical authority for AI/ML security assurance, collaborating with engineering, product, and architecture teams to ensure secure, compliant delivery of systems and services.
• Define, implement, and maintain security standards for GenAI, ML pipelines, data usage, and AI applications across hybrid and cloud environments.
• Conduct threat modeling, adversarial risk assessments, and AI-specific threat surface analysis on LLMs, data pipelines, and orchestration frameworks.
• Drive secure-by-design practices throughout the AI development lifecycle, embedding security gates and validations.
• Lead AI-specific security testing, including red teaming, prompt injection defenses, RAG hardening, model sandboxing, and privacy-preserving techniques.

• +8 years of hands-on experience in cybersecurity and GenAI security, including demonstrated work with prompt injection mitigation, adversarial robustness, and implementing AI governance controls.
• At least 5 years of experience working with AI ecosystem stacks (such as TensorFlow, PyTorch, or LangChain), including securing AI/ML training pipelines and deployment workflows in production environments.
• Proficiency in Python, with a minimum of 3 years using Jupyter and proven experience in securing REST APIs and microservices in enterprise-scale applications.
• Expert at cloud security architectures across AWS, Azure, orGCP, and AI PaaS offerings like AWS Bedrock or Google Vertex AI.
• Minimum 3 years of experience conducting automated threat modeling and red teaming activities specifically for AI/ML systems.

• Familiarity with compliance frameworks (e.g., NIST, GDPR) and their implications for AI data handling.
• Knowledge of AI supply chain risks, synthetic data verification, and secure model provenance.
• Background in AI-specific security middleware, firewalls, or policy layers for model-based systems.
• Published work, patents, or thought leadership in AI security or trustworthy AI.
• Participation in AI/ML security working groups or standards bodies (e.g., OWASP AI, NIST, IEEE).
• Experience in regulated industries (e.g., healthcare, finance) with mature software assurance programs.

The application window is expected to close on July 20 2025

As a Customer Success Specialist, you will:

• Leverage deep technical expertise, business savvy, and automation skills to deliver consultative solutions, baseline customer environments, and develop tailored onboarding and adoption journeys that address business challenges and drive customer success.
• Communicate complex technical concepts effectively to diverse audiences, from technical architects to C-level executives, ensuring alignment and understanding through strategic discussions and interactive presentations in both remote and in-person settings.
• Serve as a designated resource (CSSd) on strategic accounts identified by leadership with high Annual Recurring Revenue (ARR), as required.
• Develop and execute strategic Technical Adoption Plans (TAPs) plans for designated accounts to align deployment decisions with long-term business objectives. Lead architectural initiatives and resolve product challenges within your area of expertise, collaborating with others as needed to support the entire Cisco portfolio.
• Collaborate with Account teams, Customer Success, and Partners to drive adoption and deliver customer value by proactively understanding customer needs, ensuring seamless product integration, and mitigating renewal risks.
• Provide customer advocacy to Engineering and Product Management Teams for product improvements and promote the CX offer strategy.

• 8 - 10 years of technical experience with expert-level knowledge of Cisco's Catalyst Center, Campus Network (Enterprise Wired/Wireless, SDAccess/ISE), Routing & Switching, Cisco Spaces and Catalyst WAN.
• 2+ years of experience with public cloud providers such as AWS, Azure, and GCP.
• 2+ years of experience in automation (Python, Ansible, Terraform) including API integrations.
• Experience with delivering customer-facing consultative sessions, interactive technical presentations, and experience in collaborating/delivering quarterly business reviews (QBRs).
• Current CCNP Enterprise certification.
• BS or equivalent experience in Engineering or related field of study.

• Knowledge in Cisco Spaces, ThousandEyes, Cloud Security, Meraki and Splunk.
• Experience employing AI/Generative AI tools and technologies to drive innovation, enhance workflows, or solve complex problems, with a focus on practical implementation and user impact.
• Experience delivering product and solution demos to showcase the art of the possible, with solid knowledge of software licensing models and expertise in conducting competitor SWOT analyses.
• Certifications: CCIE is strongly preferred, as well as CCDE, DevNet Associate, TOGAF, AWS Solution Architect, Azure Solution Architect Expert, and Google Professional Cloud Architect.