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From the employer's careers site First seen 24 Oct 2026 · Still live on 31 Oct 2026

Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S.)

GuidePoint Security Remote senior full-time

The employer hasn't listed a salary.

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Description

GuidePoint Security is 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 Senior Cloud Security Automation & AI Engineer will be required to demonstrate strong technical depth across cloud-native AI services, agentic AI design patterns, and AI governance frameworks. This individual will compose and secure agentic AI solutions, implement AI gateways and policy-based controls, and translate complex security and automation requirements into actionable, outcome-driven solutions.

Responsibilities

Delivery & Technical Execution

  • 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

Requirements

  • 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)

Benefits

  • Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions)
  • Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans)
  • Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
  • 12 corporate holidays and a Flexible Time Off (FTO) program
  • Healthy mobile phone and home internet allowance
  • Eligibility for retirement plan after 2 months at open enrollment
  • Pet Benefit Option

Skills

Required

  • Amazon Bedrock
  • Amazon Q
  • Amazon SageMaker
  • Azure AI Foundry
  • Microsoft 365 Copilot
  • Copilot Studio
  • Azure Machine Learning
  • Python
  • Cedar
  • Model Context Protocol (MCP)
  • AI gateways
  • policy-based access controls
  • cloud security automation
  • AI governance frameworks

Nice to have

  • AWS Certified Solutions Architect
  • AWS Certified Machine Learning
  • AWS AI Practitioner certification
  • Azure AI Engineer Associate
  • Azure Solutions Architect Expert
  • Microsoft 365 Certified: Administrator Expert
  • Google Cloud Professional Machine Learning Engineer
  • Google Cloud Professional Cloud Architect

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/guidepointsecurity/jobs/6205784004

Apply on GuidePoint Security