Senior Solutions Architect – Cost Optimization, AI

Job not on LinkedIn

🕒 June 19

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Virtasant

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏢 Enterprise

🤝 B2B

Consulting • Enterprise • B2B

Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.

📋 Description

• Work directly with customer stakeholders to understand business and technical objectives • Design architectures across AWS, Azure, and GCP • Lead discovery workshops and architecture assessments • Translate complex technical challenges into practical roadmaps • Serve as a trusted advisor to engineering leaders and executives • Lead cloud cost optimization initiatives for enterprise customers • Identify architectural opportunities to improve efficiency and reduce spend • Design governance frameworks that sustain long-term savings • Help customers establish FinOps best practices • Leverage Helias and other optimization tools to drive measurable outcomes • Help customers adopt AI across engineering and operational workflows • Design solutions that incorporate AI-assisted automation and decision-making • Evaluate AI technologies, platforms, and tradeoffs • Guide customers on practical AI adoption strategies • Guide engineering teams through architecture decisions • Mentor engineers and architects • Ensure solutions are scalable, secure, and operationally sound • Provide technical leadership throughout modernization programs

🎯 Requirements

• 8+ years of experience with AWS, Azure, or GCP • Professional services, consulting, or customer-facing architecture experience • Experience leading cloud modernization or migration initiatives • Strong understanding of cloud cost optimization principles • Production experience with Kubernetes • Strong communication and stakeholder management skills • Demonstrated use of AI in day-to-day engineering, architecture, or consulting workflows • Ability to operate effectively in ambiguous environments • Executive stakeholder engagement • Discovery and problem framing • Technical leadership • Architecture tradeoff analysis

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities