AI Enterprise Architect

Forcepoint

. Lead development of enterprise AI reference architectures, including secure AI factories, air-gapped AI environments, classified AI deployments, multi-level security AI, RAG, AI agents, and mission AI environments .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $185,100 - $273,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and leading secure AI architectures and enterprise AI reference architectures, with a strong focus on collaboration with executive stakeholders and strategic partners. Proficient in developing technical content and training programs while ensuring compliance with industry standards and security protocols.

Highest-signal resume keywords

Enterprise ArchitectureAI/ML SystemsSecure Technology EnvironmentsKubernetesNIST Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLMsRAGAI AgentsMachine Learning PipelinesGPU InfrastructureAccelerated ComputingHybrid Cloud ArchitectureEdge ComputingZero Trust ArchitectureInformation Assurance

Soft Skills

Systems-ThinkingCollaborationProblem-SolvingCustomer-First Mindset

Tools & Technologies

Cross Domain SolutionsMulti-Level SecurityIdentity and PKIConfidential ComputingData Security

Certifications & Qualifications

NVIDIA Certified AI ProfessionalAWS Certified Solutions Architect – ProfessionalMicrosoft Azure Solutions Architect ExpertGoogle Professional Cloud ArchitectRed Hat Certified ArchitectCertified Kubernetes Administrator (CKA)CISSPGIAC CertificationsTOGAF

Industry Keywords

Department of DefenseIntelligence CommunityFederal GovernmentClassified Computing EnvironmentsITAR/EAR Requirements

Tech Stack

Tools & technologies

AWSAzureCloudKubernetes

About the role

Key responsibilities & impact

Lead development of enterprise AI reference architectures, including secure AI factories, air-gapped AI environments, classified AI deployments, multi-level security AI, RAG, AI agents, and mission AI environments
Serve as primary technical architect for strategic AI ecosystem partnerships, including the Everfox-NVIDIA relationship
Design secure AI architectures integrating cross-domain solutions, trusted data exchange, mission assurance, insider risk controls, and modern AI platforms
Collaborate with strategic partners on demonstrations, joint laboratories, customer reference architectures, technical workshops, and thought leadership materials
Lead executive-level technical discussions with CIOs, CTOs, Chief AI Officers, Chief Data Officers, defense organizations, and intelligence community stakeholders
Support executive briefings, technical strategy sessions, architecture workshops, and AI modernization roadmaps
Represent Everfox at industry conferences, symposiums, and customer events as a technical evangelist and AI subject matter expert
Author white papers, blogs, technical guidance, reference architectures, and AI security best practices
Develop secure AI deployment guides, AI operational playbooks, GPU deployment standards, and joint solution packages
Deliver technical training and enablement programs for sales engineering, field sales, alliance teams, and product organizations

Requirements

What you’ll need

Current Top Secret clearance preferred
SCI eligibility strongly preferred
Extensive knowledge of enterprise architecture, AI/ML systems, and secure technology environments
Strong experience with LLMs, RAG, AI agents, machine learning pipelines, Kubernetes, container technologies, GPU infrastructure, accelerated computing, hybrid cloud architecture, and edge computing
Understanding of Zero Trust Architecture, NIST standards, Risk Management Framework, Cross Domain Solutions, Multi-Level Security, Identity and PKI, Confidential Computing, Information Assurance, and Data Security
Ability to lead complex technical discussions with executive stakeholders and translate technical concepts into mission outcomes
Strong systems-thinking, collaboration, and problem-solving capabilities
Ability to work effectively in rapidly evolving technology environments with a customer-first mindset
Experience developing and presenting technical content for customers, partners, and industry audiences
Minimum 6–10 years of enterprise architecture or systems engineering experience
3–5 years of experience designing, deploying, or operating production AI/ML environments
Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations strongly preferred
Experience with classified computing environments preferred
Relevant professional certifications preferred, including NVIDIA Certified AI Professional or Solutions Architect, AWS Certified Solutions Architect – Professional, Microsoft Azure Solutions Architect Expert, Google Professional Cloud Architect, Red Hat Certified Architect, Certified Kubernetes Administrator (CKA), CISSP, GIAC Certifications, or TOGAF
Right to work in the location to which you have applied
May need to be a U.S. Person for positions subject to ITAR/EAR requirements

Benefits

Comp & perks

Flexible PTO
401k match
Contribution to healthcare coverages
Bonus plans