GuidePoint Security LLC
Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S.)
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it yesterday · Added yesterday
First listed yesterday.
Salary
Not stated
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$225k a year, a typical range taken from 597 senior-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote, Professional Services"
- Job description states: "U.S. based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.
General 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 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. They will lead by influence and bring business acumen to drive the adoption of progressive cloud security automation programs aligned with client objectives and practice priorities.
About the Cloud Security Automation and AI Practice
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
Roles and 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
Requirements
- ·Up to 20% travel
- ·Physical Requirements
- ·Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at GuidePoint Security LLC, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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