AI Enterprise Architect

Everfox

2d•$185,100 - $273,200•Remote

About The Position

The AI Enterprise Architect is a senior technical leader within Everfox’s Strategic Growth Office. The role designs, validates, and promotes secure AI architectures that accelerate AI adoption across defense, intelligence, coalition, and critical infrastructure organizations. Working across Sales, Product Management, Engineering, Customer Success, and Strategic Alliance teams, the architect develops secure AI solutions, reference architectures, technical strategies, and proof-of-concepts that position Everfox as a trusted provider of secure AI deployments. The position supports strategic AI ecosystem partnerships, leads executive-level technical engagement, develops customer and partner materials, and represents Everfox at industry and customer events. The role is remote within the U.S. and includes travel to customer sites and partner locations. A current Top Secret clearance is preferred, and SCI eligibility is strongly preferred.

Requirements

Typically requires 6–10 years of enterprise architecture or systems engineering experience.
Requires 3–5 years of experience designing, deploying, or operating production AI/ML environments.
Extensive knowledge of enterprise architecture, AI/ML systems, and secure technology environments.
Strong experience with large language models, RAG, AI agents, machine learning pipelines, Kubernetes and container technologies, GPU infrastructure and accelerated computing, hybrid cloud architecture, and edge computing.
Understanding of secure computing principles, including 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.

Nice To Haves

Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations.
Experience with classified computing environments.
A current Top Secret security clearance; SCI eligibility is strongly preferred.
One or more relevant certifications, such as 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.

Responsibilities

Lead development of enterprise AI reference architectures for secure AI factories, air-gapped and classified AI environments, multi-level security AI, RAG, AI agents, and mission AI environments.
Serve as the primary technical architect supporting strategic AI ecosystem partnerships, including the Everfox-NVIDIA relationship.
Design secure AI architectures that integrate 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.