AI Implementation Specialist - AI Governance, Gateways, Platform Control

What you'll do

• Gather customer requirements and advise on AI security, governance, visibility, and operationalization.
• Design and implement AI governance policies and control points integrated with customer infrastructure.
• Deliver executive-facing demonstrations, customer training, and ongoing troubleshooting and optimization.

What they ask for

• 2+ years in a customer-facing technical role at an enterprise SaaS, cybersecurity, or cloud infrastructure vendor.
• 2+ years of enterprise software delivery or technical consulting experience, including hands-on exposure to AI tooling, LLM integrations, or modern API architectures.
• Experience guiding Fortune 500 or large enterprise clients through complex deployments or digital transformation.
• Working knowledge of enterprise security, DLP, Zero Trust, LLM handling of sensitive data, AI control points, and web/API architectures.

Nice to have

• Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical experience; relevant certifications are a plus.
• Experience with AI integration layers or gateways, Zero Trust, endpoint security, SIEM/analytics, or AI governance and compliance frameworks.

Tools

MCP, REST, Webhooks, JSON-RPC, JavaScript, LiteLLM, LangChain, Splunk

AI focus

Enterprise AI governance and control, including AI strategy, deployment, LLM gateways, integrations, and protection of sensitive data.