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Lead Solutions Architect

1 week, 2 days ago
United States
Full-time
Lead
Solutions Architect
Software Development
Kubernetes Machine Learning Python
Apply Now
Virtualitics

Virtualitics

Virtualitics, Inc. leverages AI for advanced analytics, enabling rapid data processing, predictive modeling, and seamless integration into workflows for smarter business decisions.

IT Services
51-250
Founded 2016
$32M raised
View All Jobs 22

Description

  • Advise customer technical stakeholders and guide engagements toward mission-critical objectives.
  • Partner with Account Executives on product demonstrations, RFP responses, and technical customer inquiries.
  • Build and customize Python-based demos and applications for prospective and existing customers.
  • Work with Kubernetes-based containerized architectures across on-premises and cloud environments.
  • Build and maintain cloud staging environments and contribute pull requests for demos and integrations.
  • Develop scalable technical strategies aligned with customer requirements and organizational goals.
  • Translate customer business needs into technical requirements and coordinate with internal teams.
  • Design and review customer architectures, identify technical risks, and support mitigation planning.
  • Support integrations involving national security systems and environments.
  • Collaborate with marketing and product teams on technical collateral and product roadmap feedback.

Requirements

  • Active DoD SECRET clearance.
  • 5–8+ years of experience in solutions architecture or a related role, with demonstrated hands-on impact.
  • Hands-on Python coding experience, including Python-based demo or application tools and submitting pull requests.
  • Working knowledge of containerized and Kubernetes-based models across on-premises and cloud environments.
  • Experience or exposure to data science, data engineering, AI/ML solutions, cloud platforms, or systems integration.
  • Strong written and verbal communication skills for technical and non-technical audiences.
  • Proactive, self-directed approach to solving ambiguous problems and delivering results.
  • Experience with land, sea, or air maintenance preferred.
  • Exposure to readiness domains such as predictive maintenance, munitions storage planning, or supply chain management preferred.
  • Familiarity with risk management frameworks, cloud providers, large-scale AI architectures, DoD/IC environments, or TS/SCI clearance preferred.

Benefits

  • Highly competitive compensation.
  • Meaningful equity participation.
  • Fully paid medical, dental, and vision coverage for employees and dependents.
  • Unlimited paid time off.
  • Flexible work arrangements, including remote flexibility and hybrid options in Los Angeles and Washington, DC.
  • Meaningful ownership and career-growth opportunities in a rapidly scaling company.

Interested in this position?

Apply directly on the company website

Apply Now

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