{"id":1126029,"url":"https://alion.io/job/guidepoint-security-senior-cloud-security-automation-ai-engineer-remote-anywhere-in-the-u-s-","title":"Senior Cloud Security Automation & AI Engineer- Remote (Anywhere in the U.S.)","company":{"id":3625,"name":"GuidePoint Security","domain":"guidepointsecurity.com","url":"https://alion.io/company/guidepoint-security","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":17,"ghost_share":0,"stale_share":0.647,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":220000,"period":"year","method":"global_role_seniority_cell","sample_n":1098},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Anthropic","optional":true},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Gemini","optional":true},{"name":"Google Workspace","optional":true},{"name":"ISO 42001","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OpenAI","optional":true},{"name":"OWASP","optional":true},{"name":"Python","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-22T20:52:11Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-23T19:18:50Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nGeneral Description\nWe 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.\nThe 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.\n\nAbout the Cloud Security Automation and AI Practice\nThe 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.\nOur 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.\nDeliver secure AI/ML platform implementations across AWS, Azure, Google Cloud, and third-party enterprise AI platforms\nDevelop reusable automation frameworks, accelerators, and reference architectures for AI security\nDrive thought leadership and practice growth through presales support, content development, and industry engagement\nRoles and Responsibilities\nDelivery & Technical Execution\nLead end-to-end delivery of cloud security automation and AI engagements, including scoping, architecture design, implementation, and client handoff\nDesign 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\nArchitect and enforce AI governance policies, including usage policies, data handling controls, model access management, and compliance guardrails for enterprise AI deployments\nDevelop and deploy AI-powered security automation solutions (e.g., automated compliance checks, threat detection agents, remediation workflows) for clients\nProduce high-quality deliverables including architecture documents, runbooks, SOPs, and security assessment reports\nTechnical Oversight & Quality Assurance\nProvide technical oversight and quality assurance across active engagements, ensuring deliverables meet GuidePoint standards and client expectations\nMentor and guide junior engineers on best practices for cloud security, AI/ML implementation, and secure development\nConduct architecture reviews, code reviews, and security assessments for AI/ML workloads\nPresales & Business Development Support\nSupport presales activities by participating in client discovery calls, demos, and technical deep dives\nContribute to proposals, statements of work (SOWs), and pricing estimates for AI security and automation engagements\nCollaborate with account executives and practice leadership to identify opportunities and shape client solutions\nPractice Development & Thought Leadership\nContribute to practice development by building reusable tools, templates, accelerators, and reference architectures\nDevelop thought leadership content such as blog posts, whitepapers, webinars, and conference presentations\nStay current on emerging AI/ML platforms, cloud security trends, and regulatory developments to inform practice strategy\n\nRequired Experience and Education\nBachelor's Degree (BS/BA) + 5-7 years of experience\nDemonstrated experience designing, implementing, or securing AI/ML workloads in cloud environments\nHands-on proficiency with primary AI/ML platforms: Amazon Bedrock, Amazon Q, and Amazon SageMaker\nPreferred experience with secondary platforms: Azure AI Foundry, Microsoft 365 Copilot, Copilot Studio, Azure Machine Learning\nExperience in a client-facing consulting or professional services role\nEmbraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes\nBasic Python competency, including the ability to read, write, and troubleshoot code for automation and integration tasks\nUnderstanding of agentic AI patterns, AI governance frameworks, and secure AI composition (e.g., multi-agent orchestration, tool-use guardrails, prompt injection mitigation)\n\nTechnology Proficiency\nPrimary (AWS)\nAmazon Bedrock\nAmazon Q (Business, Developer)\nAmazon SageMaker\nSecondary (Azure)\nAzure AI Foundry\nMicrosoft 365 Copilot\nCopilot Studio\nAzure Machine Learning\nAdditional Platforms\nGemini for Google Workspace\nClaude for Enterprise (Anthropic)\nChatGPT Enterprise / OpenAI Platform\nAI Security & Governance\nAI Gateways (centralized proxy, traffic control, policy enforcement)\nModel Context Protocol (MCP)\nCedar (AWS policy language for fine-grained authorization)\nAI governance and usage policy frameworks (NIST AI RMF, ISO 42001, OWASP LLM Top 10)\nPreferred Experience and Education\nAWS Certified Solutions Architect, AWS Certified Machine Learning, or AWS AI Practitioner certification\nAzure AI Engineer Associate, Azure Solutions Architect Expert, or Microsoft 365 Certified: Administrator Expert\nGoogle Cloud Professional Machine Learning Engineer or Google Cloud Professional Cloud Architect\nExperience writing statements of work (SOWs), proposals, or scoping documents for professional services engagements\nBackground in security frameworks (NIST AI RMF, OWASP LLM Top 10, ISO 42001) as applied to AI/ML workloads\nPublic speaking experience, including presentations at conferences, webinars, or industry events\nPrior experience in practice development, service catalog creation, or go-to-market strategy for a consulting or professional services firm\nAWS Certified Developer - Associate\nExperience with AI gateways, Model Context Protocol (MCP), and policy-as-code frameworks (e.g., Cedar, OPA)\nTravel Requirements\nUp to 20% travel\nPhysical Requirements\nSedentary work\nSubstantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day\nRequired to have close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day\nWe 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.\n\nWhy GuidePoint?\n GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1,300 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 6,200 customers.\nFirmly-defined core values drive all aspects of the business, which have been paramount to the company’s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity. \nThis is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation.\nSome added perks….\nRemote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions)\nGroup Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options)\nGroup Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans\n12 corporate holidays and a Flexible Time Off (FTO) program\nHealthy mobile phone and home internet allowance\nEligibility for retirement plan after 2 months at open enrollment\nPet Benefit Option","description_format":"text","description_chars":9142,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Flexible time off","Health insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Security","Artificial Intelligence","Cybersecurity","Information Security"],"lifecycle":[{"event":"open","at":"2026-09-22T21:36:53Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":41,"reasons":["conf:0","stale_co","velocity","win:early"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/guidepoint-security-senior-cloud-security-automation-ai-engineer-remote-anywhere-in-the-u-s-","json_url":"https://alion.io/job/guidepoint-security-senior-cloud-security-automation-ai-engineer-remote-anywhere-in-the-u-s-.json","meta":{"generated_at":"2026-09-23T22:32:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}