TITLE: AI Enterprise ArchitectLOCATION: Remote (U.S.) with travel to customer sites and partner locationsSecurity clearance requirements include a current Top Secret clearance preferred, with SCI eligibility strongly preferred.About the RoleThe AI Enterprise Architect is a senior technical leader within the Strategic Growth Office responsible for designing, validating, and promoting secure AI architectures that accelerate AI adoption across defense, intelligence, coalition, and critical infrastructure organizations. This role works across Sales, Product Management, Engineering, Customer Success, and Strategic Alliance teams to develop secure AI solutions, reference architectures, technical strategies, and proof-of-concepts that position Everfox as a trusted provider of secure AI deployments.
Key Responsibilities- Lead the development of enterprise AI reference architectures, including secure AI factories, air-gapped AI environments, classified AI deployments, multi-level security AI, Retrieval Augmented Generation (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 integrating cross-domain solutions, trusted data exchange, mission assurance, insider risk controls, and modern AI platforms.
- Collaborate with strategic partners to develop 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 the organization 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.
Key Knowledge and Skills- Extensive knowledge of enterprise architecture, AI/ML systems, and secure technology environments.
- Strong experience with: Large Language Models (LLMs) Retrieval Augmented Generation (RAG) AI Agents Machine Learning pipelines Kubernetes and container technologies GPU infrastructure and accelerated computing Hybrid cloud architecture Edge computing
- Understanding of secure computing principles, including: Zero Trust Architecture NIST standards Risk Management Framework (RMF) 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.
Key Education Requirements- Typically requires a minimum of 6-10 years of enterprise architecture or systems engineering experience.
- Requires 3-5 years of experience designing, deploying, or operating production AI/ML environments.
- Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations is strongly preferred.
- Experience with classified computing environments preferred.
- One or more 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 TOGAF
Success Factors- Delivery of production-ready AI reference architectures.
- Successful execution of strategic partner technical engagements.
- Advancement of AI business opportunities and proof-of-concepts into production deployments.
- Strong executive and partner engagement.
- Contributions to AI thought leadership and industry visibility.
- Adoption of secure AI architectures across defense and intelligence programs.
A reasonable estimate of the base salary range for this role is:
$185,100.00-273,200.00 USD
The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our Talent Acquisition team will provide specific information regarding bonus eligibility and benefits offerings.
Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.
