Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S.)
About this role
Professionals who thrive at the intersection of client-facing consulting, technical delivery, and emerging cloud technologies will find a fitting home in this practice. GuidePoint Security operates a specialized Cloud Security Automation and AI team that helps organizations safely adopt and govern machine learning workloads across multi-cloud environments. The person stepping into this role will handle hands-on delivery, technical oversight, presales support, and practice development while securing agentic AI solutions and implementing policy-based controls.
Day-to-day responsibilities involve designing secure multi-agent orchestration frameworks, integrating AI gateways, conducting architecture reviews, and mentoring junior engineers. The organization exists to provide trusted cybersecurity expertise that helps top-tier corporations and government agencies minimize risk while accelerating innovation. Candidates who succeed here bring a solid foundation in cloud-native AI platforms, a client-first consulting mindset, and the drive to shape industry-leading security practices.
What you will do
- Lead end-to-end delivery of cloud security automation and AI engagements spanning scoping, architecture design, implementation, and client handoff.
- Design and implement secure agentic AI solutions incorporating multi-agent orchestration, Model Context Protocol integrations, and AI gateway architectures.
- Architect and enforce AI governance policies covering usage controls, data handling, model access management, and compliance guardrails.
- Provide technical oversight and quality assurance across active engagements while mentoring junior engineers on secure development practices.
- Support presales activities by participating in client discovery calls, delivering technical demos, and contributing to proposals and statements of work.
- Contribute to practice development by building reusable automation frameworks, reference architectures, and thought leadership content.
What you need
- Hold a Bachelor's Degree in a related field combined with 5 to 7 years of professional experience.
- Demonstrate practical experience in designing, implementing, or securing artificial intelligence workloads within cloud environments.
- Possess hands-on proficiency with primary platforms including Amazon Bedrock, Amazon Q, and Amazon SageMaker.
- Bring previous experience working in a client-facing consulting or professional services role.
- Show basic Python competency with the ability to write and troubleshoot code for automation tasks.
- Understand agentic AI patterns, governance frameworks, and secure AI composition strategies.
Nice to have
- Experience with secondary platforms such as Azure AI Foundry, Microsoft 365 Copilot, and Azure Machine Learning
- Professional certifications from AWS, Microsoft, or Google Cloud in architecture or machine learning
- Background applying security frameworks like NIST AI RMF, OWASP LLM Top 10, and ISO 42001
- Public speaking experience at conferences, webinars, or industry events
- Prior involvement in practice development or go-to-market strategy for a professional services firm
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This is a remote position that can be based anywhere in the U.S. Travel requirements for the role are up to 20%.
What primary platforms and tools will I be working with?
You will work extensively with primary AI and cloud platforms including Amazon Bedrock, Amazon Q, and Amazon SageMaker. Additional tools involve AI gateways, Model Context Protocol, and the Cedar policy language.
What does the hiring process involve?
The applicant tracking system used is Greenhouse Software, and HR screen requests are scheduled using Zoom Scheduler. Candidates should check their spam folders if communications are not received.
The application is on the official GuidePoint Security careers page.
Apply on company site