Senior Deployment Strategist – Cloud & AI

Job not on LinkedIn

🔥 6 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 13%

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

• Partner with executive sponsors to turn ambiguous mandates into concrete, time-boxed deployments with defensible business cases • Lead technical discovery and architecture reviews • Surface integration complexity, infrastructure constraints, change-control realities and technical tradeoffs • Establish technical credibility with customer engineering teams and scope engagements around deployable, verifiable outcomes • Sequence multi-phase cloud and AI optimization deployment roadmaps • Work alongside customer engineers on infrastructure and AI optimization • Own architecture decisions, technical problem solving, guardrails, policy layers and integration into client pipelines and change processes • Navigate ticketing, change templates, approval routing, security and compliance gates • Diagnose and adjust to technical or organizational constraints while keeping stakeholders aligned • Define adoption and impact metrics before deployment and own measurable outcomes • Translate business outcomes into technical implementation and technical constraints into business decisions • Design POC scope, success criteria and graduation paths into production • Own the case for expansion alongside the account team • Identify additional optimization opportunities in client environments • Turn field learnings into reusable playbooks • Provide technically specific product feedback to influence the roadmap • Operate collaboratively and independently while supporting practice growth

🎯 Requirements

• 10+ years of overall technical infrastructure, engineering, architecture or technical delivery experience • Meaningful public-cloud experience and deep expertise in at least one of AWS, Azure or GCP • Genuine software engineering foundation and meaningful responsibility for production systems • Enterprise-scale architecture experience, including areas such as multi-account or multi-region environments, high availability, horizontally scalable systems, networking, security, governance and compliance • Strong technical problem-solving skills, including reasoning from first principles and defending architectural decisions with senior engineers • Fluency in infrastructure economics and technical spend drivers • Strong production depth in at least two of GPU and accelerator infrastructure, inference optimization and economics, or agentic/LLM architectures • Working knowledge of enterprise AI platforms such as Bedrock, Azure OpenAI, Vertex AI and relevant neocloud offerings • Demonstrated use of AI in daily engineering, architecture and consulting work • Demonstrated experience working directly with external customers in consulting, professional services, solutions architecture, forward-deployed engineering, deployment strategy or comparable client-facing technical delivery • Ability to communicate with CTO-level stakeholders and customer engineers • Experience owning technical outcomes with external customers • Production systems operation experience • High ownership, collaboration and comfort with ambiguity • Production Kubernetes experience is valuable but not required • Helpful: formal FinOps practice experience or certifications, cloud/platform/AI/FinOps practice leadership, regulated-industry experience, datacenter/colocation/hybrid-estate experience, Terraform and policy-as-code, public speaking or technical writing

🏖️ Benefits

• Fully remote work across the Americas • 10–20% travel to client sites • Work with a globally distributed network of technologists • Direct line to product; field findings influence the product roadmap