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

**Company**: GuidePoint Security
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Consulting

**Apply**: https://job-boards.greenhouse.io/guidepointsecurity/jobs/6205784004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6ca6f15b-1a0

## 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

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/guidepointsecurity/jobs/6205784004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)