AI Enterprise Architect @Everfox
Artificial Intelligence
Salary $185,100 - $273..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] AI Enterprise Architect @Everfox

YDay - Everfox is hiring a remote AI Enterprise Architect. πŸ’Έ Salary: $185,100 - $273,200 usd πŸ“Location: USA

Role Description

The 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.

Qualifications

  • 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.

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

Benefits

  • 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
    • 401k match
    • Contribution to healthcare coverages
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
AI Enterprise Architect @Everfox
Artificial Intelligence
Salary $185,100 - $273..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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