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Salary
≈ $132k – $260k per year (Estimated)
Location
Remote (United States)
Seniority
Architect · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Apr 16, 2026.

Overview
Company
Impact
Profile match
Virtualitics is an AI solutions company that transforms data into impactful action with AI readiness applications for defense, government, and enterprise.

What You Will Be Doing

    We're looking for a Solutions Architect to join our Go-To-Market team. This role is a great fit for someone

    earlier in their solutions architecture career who's ready to get hands-on with the product and grow quickly

    alongside our customers and team.

  • Customer Engagement: Communicate effectively with Technical Points of Contact (TPOCs), building trust and acting as a technical advisor to guide customers toward achieving their mission-critical objectives.
    • Pre-Sales Support: Partner with Account Executives to deliver compelling product demonstrations, respond to RFPs, and craft technical responses to customer inquiries.
      • Custom Demo Building: Build and tweak custom, targeted demos for prospective and existing clients using Python.
        • Containerized Environments: Work with our containerized (Kubernetes) architecture, understanding how models are packaged and run consistently whether deployed on-prem or in the cloud.
          • Cloud Staging and Delivery: Build and maintain cloud staging environments used for client demos; push PRs as part of demo and integration work.
            • Technical Strategy Development: Define technical strategies for customer engagements, ensuring scalability and alignment with organizational goals.
              • Stakeholder Engagement: Act as a bridge between customer stakeholders and internal teams, translating business needs into technical requirements.
                • Architecture Design and Review: Support the development and review of technical architectures that align with customer requirements and industry best practices.
                  • Technical Risk Management: Identify technical risks in customer engagements and help propose mitigation strategies.
                    • NatSec Integrations: Support integration work involving national security systems and environments.
                    • Cross-Team Collaboration: Work closely with marketing and product teams to create technical collateral and align customer feedback with product roadmaps.

What We Are Looking For

  • Active DoD SECRET clearance.
  • 2 to 5+ years of experience in a solutions architecture or solutions-architecture-adjacent role. Be prepared to speak directly to your hands-on impact, not just tenure.
  • Hands-on coding ability, comfortable with Python and Python-based demo/app tools, and experience pushing PRs.
  • Working understanding of containerized/Kubernetes-based models and how they run across on-prem and cloud environments.
  • Exposure to data science, data engineering, AI/ML solutions, cloud platforms, and/or systems integration.
  • Excellent written and verbal communication skills to convey technical solutions to both technical and non-technical stakeholders.
  • A proactive, “figure it out and ship it” mindset; someone who leans into ambiguity rather than waiting to be told what to do.

What Are Our Preferred Requirements

  • Prior Land, Sea, or Air Maintenance experience.
  • Exposure to Readiness domains like Predictive Maintenance, Munitions Storage Planning, and/or
  • Supply Chain Management.
  • Familiarity with risk management frameworks, cloud service providers, and large-scale AI architectures.
  • Knowledge of the unique requirements of DoD and IC environments.
  • DoD TOP SECRET clearance with SCI eligibility (TS/SCI).

What Are Some Valued Skills

  • Exceptional problem-solving abilities and a proactive approach to challenges.
  • Strong collaboration skills to work across teams and organizational levels.
  • Ability to adapt in a dynamic, fast-paced startup environment while meeting deadlines.
  • Willingness to experiment with new tools and approaches rather than defaulting to “the way it's always

    been done.”

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