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GuidePoint Security

Cybersecurity consulting, software solutions, managed services

Senior Cloud Security Automation & AI Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A bachelor's degree (BS/BA) and 5–7 years of experience.
  • Demonstrated experience designing, implementing, or securing AI/ML workloads in cloud environments.
  • Hands-on proficiency with Amazon Bedrock, Amazon Q, and Amazon SageMaker.
  • Experience in a client-facing consulting or professional services role.
  • Basic Python competency, including reading, writing, and troubleshooting code for automation and integration tasks.
  • Understanding of agentic AI patterns, AI governance frameworks, and secure AI composition, including multi-agent orchestration, tool-use guardrails, and prompt injection mitigation.
  • Ability to perform sedentary work and substantial wrist, hand, or finger movement for at least 8 hours a day.
  • Close visual acuity to view a computer terminal and/or extensive reading for at least 8 hours a day.

Responsibilities

  • 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 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, such as automated compliance checks, threat detection agents, and remediation workflows, for clients.
  • Produce architecture documents, runbooks, standard operating procedures, and security assessment reports.
  • Provide technical oversight and quality assurance across active engagements, ensuring deliverables meet company 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.
  • Support presales by participating in client discovery calls, demonstrations, and technical deep dives.
  • Contribute to proposals, statements of work, and pricing estimates for AI security and automation engagements.
  • Collaborate with account executives and practice leadership to identify opportunities and shape client solutions.
  • Build reusable tools, templates, accelerators, and reference architectures for practice development.
  • Develop thought leadership content, including blog posts, whitepapers, webinars, and conference presentations.
  • Stay current on emerging AI/ML platforms, cloud security trends, and regulatory developments to inform practice strategy.
  • Travel up to 20%.

Desired Qualifications

  • Experience with Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, and Azure Machine Learning.
  • 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 certification.
  • Google Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud Architect certification.
  • Experience writing statements of work, proposals, or scoping documents for professional services engagements.
  • Background in security frameworks such as NIST AI RMF, OWASP LLM Top 10, and 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 certification.
  • Experience with AI gateways, Model Context Protocol, and policy-as-code frameworks such as Cedar and OPA.

About the Company

GuidePoint Security

Cybersecurity consulting, software solutions, managed services

GuidePoint Security delivers cybersecurity services to help organizations assess and reduce security risk, offering security technologies, consulting, and managed security services for enterprise and government clients. It works by assessing a client’s security posture, recommending and deploying appropriate tools and controls, and continuously monitoring and managing security operations to detect and respond to threats. The company stands out through deep industry knowledge and hands-on practitioner experience from DoD, intelligence communities, and Fortune 500 environments, enabling tailored solutions for complex, mission-critical needs rather than generic offerings. Its goal is to help clients make informed security decisions, reduce risk exposure, and maintain strong defense against evolving cyber threats through a combination of technology, expertise, and managed services.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
Not listed
Headquarters
Reston, VA
Founded
2011

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