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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S.) - **Company:** Guidepoint Global, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Applicant Tracking Systems, Microsoft Azure, Cloud Computing, Cloud Computing Security, Code Review, Computer Terminals, Identity and Access Management, Python (Programming Language), Machine Learning, Open Web Application Security, Azure Machine Learning, Secure Coding, Policy as Code, Data Processing, Google Cloud, Cloud Platform System, Office365, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Multi-Cloud, AI Platforms, Deployment Automation, Gsuite, GPT, Security Orchestration, Automation & Response - **Published:** September 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e72db85ad8b59031 ## About the Role * Bachelor's Degree (BS/BA) + 5-7 years of experience * Demonstrated experience designing, implementing, or securing AI/ML workloads in cloud environments * Hands-on proficiency with primary AI/ML platforms: Amazon Bedrock, Amazon Q, and Amazon SageMaker * Preferred experience with secondary platforms: Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, Azure Machine Learning * Experience in a client-facing consulting or professional services role * Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes * Basic Python competency, including the ability to read, write, and troubleshoot code for automation and integration tasks * Understanding of agentic AI patterns, AI governance frameworks, and secure AI composition (e.g., multi-agent orchestration, tool-use guardrails, prompt injection mitigation), * AWS Certified Solutions Architect, AWS Certified Machine Learning, or AWS AI Practitioner certification * Azure AI Engineer Associate, Azure Solutions Architect Expert, or Microsoft 365 Certified: Administrator Expert * Google Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud Architect * Experience writing statements of work (SOWs), proposals, or scoping documents for professional services engagements * Background in security frameworks (NIST AI RMF, OWASP LLM Top 10, ISO 42001) as applied to AI/ML workloads * Public speaking experience, including presentations at conferences, webinars, or industry events * Prior experience in practice development, service catalog creation, or go-to-market strategy for a consulting or professional services firm * AWS Certified Developer - Associate * Experience with AI gateways, Model Context Protocol (MCP), and policy-as-code frameworks (e.g., Cedar, OPA), * Sedentary work * Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day * Required to have close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application. ## Description We are looking for a skilled Senior Cloud Security Automation & AI Engineer to support the Cloud Security Automation and AI Practice. This role combines hands-on delivery, technical oversight, presales support, and practice development to help organizations adopt and secure AI/ML platforms across multi-cloud environments., The Cloud Security Automation and AI Practice is responsible for helping organizations securely adopt, deploy, and govern AI/ML workloads and automation pipelines across cloud environments. We deliver advisory, implementation, and managed services that bridge the gap between innovation and security. Our team of engineers, architects, and consultants focuses on cloud-native AI platforms, security automation frameworks, and enterprise AI governance. We partner with clients, account executives, and technology vendors to deliver solutions that reduce risk while accelerating AI adoption. * Deliver secure AI/ML platform implementations across AWS, Azure, Google Cloud, and third-party enterprise AI platforms * Develop reusable automation frameworks, accelerators, and reference architectures for AI security * Drive thought leadership and practice growth through presales support, content development, and industry engagement, * Lead end-to-end delivery of cloud security automation and AI engagements, including scoping, architecture design, implementation, and client handoff * Design and implement secure agentic AI solutions, including multi-agent orchestration, Model Context Protocol (MCP) integrations, AI gateway architectures, and policy-based access controls using frameworks such as Cedar * Architect and enforce AI governance policies, including usage policies, data handling controls, model access management, and compliance guardrails for enterprise AI deployments * Develop and deploy AI-powered security automation solutions (e.g., automated compliance checks, threat detection agents, remediation workflows) for clients * Produce high-quality deliverables including architecture documents, runbooks, SOPs, and security assessment reports Technical Oversight & Quality Assurance * Provide technical oversight and quality assurance across active engagements, ensuring deliverables meet GuidePoint standards and client expectations * Mentor and guide junior engineers on best practices for cloud security, AI/ML implementation, and secure development * Conduct architecture reviews, code reviews, and security assessments for AI/ML workloads Presales & Business Development Support * Support presales activities by participating in client discovery calls, demos, and technical deep dives * Contribute to proposals, statements of work (SOWs), and pricing estimates for AI security and automation engagements * Collaborate with account executives and practice leadership to identify opportunities and shape client solutions Practice Development & Thought Leadership * Contribute to practice development by building reusable tools, templates, accelerators, and reference architectures * Develop thought leadership content such as blog posts, whitepapers, webinars, and conference presentations * Stay current on emerging AI/ML platforms, cloud security trends, and regulatory developments to inform practice strategy, * Azure AI Foundry * Microsoft 365 Copilot * Copilot Studio * Azure Machine Learning Additional Platforms * Gemini for Google Workspace * Claude for Enterprise (Anthropic) * ChatGPT Enterprise / OpenAI Platform