Note: The job is a remote job and is open to candidates in USA. Dice is recruiting an AI Gateway Architect/Engineer for a contract role supporting enterprise technology initiatives. The role will evaluate AI and MCP gateway technologies, define and implement security requirements and guardrails, and provide architectural guidance for AI workflows across cloud environments. The engineer will collaborate with platform, security, business, and CTO teams to operationalize scalable AI security controls.
Responsibilities
- Partner with CTO/platform engineering teams evaluating AI and MCP gateway technologies
- Ensure security requirements and guardrails are incorporated into gateway selection and deployment
- Act as a bridge between business/security stakeholders and technical platform teams
- Help define security requirements and enforcement mechanisms for AI gateway implementations
- Assist with deployment and operationalization of AI security controls
- Evaluate protocol-agnostic and cloud-agnostic gateway considerations
- Support scalable implementation of AI guardrails across enterprise AI solutions
- Provide architectural input on AI workflow integrations and security implications
Skills
- · Exposure to AI gateways, API gateways, LLM workflows, or agentic AI architectures
- · Understanding of AI security, governance, and guardrail frameworks
- · Ability to translate technical concepts into business/security terms
- · Hands-on engineering mindset (not purely advisory)
- · Experience working cross-functionally with security and platform teams
- · Strong cloud engineering or cloud architecture background
- · Experience across AWS, Azure, and Google Cloud Platform environments
- · Understanding of AI gateways, MCP integrations, LLM workflows, or agentic AI architectures
- · Familiarity with AI security concepts, guardrails, and enforcement mechanisms
- · Ability to translate technical concepts into business/security discussions
- · Strong engineering mindset — not purely advisory or architectural
- · Experience collaborating cross-functionally with platform and security teams
- · Strong cloud engineering or architecture background (AWS, Azure, Google Cloud Platform), multi-cloud/polycloud preferred
- · Exposure to AI infrastructure security or governance preferred
- · Exposure to AI governance or AI infrastructure security is highly preferred
Benefits
- 100% remote work
- 12+ Months Contract
- 2 step interview process will move quick
Company Overview
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