Senior Deployment Strategist - Cloud & AI
Virtasant Inc.11 hours ago
Remote, AmericasSenior
Responsibilities
- Partner with CTOs, infrastructure and engineering executives, and AI platform leaders to scope concrete, time-boxed deployment engagements.
- Lead technical discovery, architecture reviews, problem solving, and deployment roadmaps for cloud and AI optimization.
- Work alongside customer engineers on infrastructure and AI optimization, owning architecture decisions, guardrails, policy layers, and pipeline integration.
- Navigate customer ticketing, change-management, approval, security, and compliance workflows to move changes into production.
- Define adoption and impact metrics, own executive communication, and carry engagements through production handoff and measurable outcomes.
- Design proofs of concept, success criteria, and production graduation paths while identifying expansion opportunities with the account team.
- Convert field learnings into reusable playbooks and provide technically specific product feedback to influence the roadmap.
Requirements
- 10+ years of technical infrastructure, engineering, architecture, or technical delivery experience.
- Meaningful public-cloud experience and deep expertise in at least one of AWS, Azure, or GCP.
- A genuine software engineering foundation with meaningful responsibility for production systems.
- Enterprise-scale architecture experience involving areas such as multi-account or multi-region environments, high availability, scalable systems, networking, security, governance, and compliance.
- Strong production depth in at least two of GPU and accelerator infrastructure, inference optimization and economics, or agentic and LLM architectures.
- Working knowledge of enterprise AI platforms such as Bedrock, Azure OpenAI, Vertex AI, and relevant neocloud offerings.
- Demonstrated external customer-facing experience in consulting, professional services, solutions architecture, forward-deployed engineering, deployment strategy, or comparable technical delivery.
- Ability to communicate effectively with both executive sponsors and deeply technical customer engineers.
- Demonstrated use of AI in daily engineering, architecture, and consulting work, along with production systems ownership and strong independent execution.
- Helpful qualifications include deep operational Kubernetes expertise, FinOps experience or certifications, practice-building experience, regulated-industry experience, datacenter or hybrid-estate experience, Terraform and policy-as-code experience, and public speaking or technical writing.
Benefits
- Fully remote role available across the Americas, including the US, Canada, and Latin America.
- 10–20% travel to client sites.
- Work with a globally distributed network of technologists and a platform focused on context-aware optimization.
- Direct influence on product development through field feedback.
Categories
Forward Deployed
About Virtasant Inc.
Virtasant provides cloud and software engineering services to enterprises, focusing on cloud migration and modernization, cost optimization, and AI-enabled transformation. The privately held, fully remote company also develops Helias, a cloud cost optimization platform used to understand, govern, and reduce spend at scale. Founded in 2007 and headquartered in Austin, Texas, it serves global customers across AWS, Azure, and Google Cloud.