Senior Solutions Architect - Cost Optimization & AI

Senior Solutions Architect - Cost Optimization & AI Be responsible for designing and optimizing cloud solutions, leading transformations, and owning technical delivery. Senior Solutions Architect – Cost Optimization & AI Location: Remote (US Time Zones) Company: Virtasant About Virtasant Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We help organizations modernize applications, migrate to the cloud, optimize cloud spend, and adopt emerging technologies. Our work spans cloud architecture, software engineering, platform modernization, AI adoption, and cloud cost optimization. Core Offerings Cloud Migration – Modernizing and migrating complex systems to AWS, Azure, and GCP Cloud Optimization – Reducing cloud spend through engineering, automation, and FinOps practices AI-Enabled Transformation – Helping organizations adopt AI across engineering, operations, and business workflows Product Development – Building and scaling cloud-native applications and platforms We also develop and operate Helias, Virtasant's cloud cost optimization platform, which helps organizations understand, optimize, and govern cloud spend at scale. The Role We are looking for a Senior Solutions Architect who combines strong cloud architecture expertise, consulting experience, and an AI-first approach to problem solving. This is a client-facing consulting role focused on helping enterprise customers modernize systems, optimize cloud environments, reduce cloud costs, and adopt AI in practical and measurable ways. The most successful candidates are former software engineers who evolved into architecture and consulting roles and are equally comfortable discussing implementation details, architecture tradeoffs, business impact, and cloud economics. What You'll Do Client Advisory & Solution Design 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 Cost Optimization & Cloud Efficiency 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 AI-Enabled Transformation 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 Technical Leadership Guide engineering teams through architecture decisions Mentor engineers and architects Ensure solutions are scalable, secure, and operationally sound Provide technical leadership throughout modernization programs What We're Looking For Non-Negotiables 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 Technical Experience Cloud Architecture Enterprise cloud architecture Multi-account and multi-region environments High-availability and scalable systems Security and governance best practices Software Engineering Strong engineering background Experience building or maintaining production systems Python preferred Experience discussing implementation tradeoffs with engineering teams Cost Optimization FinOps principles Rightsizing Savings Plans and Reserved Instances Cloud governance Architecture-driven cost reduction AI Practical experience using AI tools and workflows Understanding of LLMs and enterprise AI adoption Ability to evaluate AI technologies and tradeoffs Consulting & Business Skills Strong candidates will demonstrate: Executive stakeholder engagement Discovery and problem framing Technical leadership Architecture tradeoff analysis Ability to connect technical decisions to business outcomes Comfort working in fast-paced consulting environments How We Work Virtasant operates in a high-performance consulting environment. The people who thrive here are: Curious and proactive Comfortable with ambiguity Strong communicators Hands-on technologists Customer-focused problem solvers Builders who enjoy solving difficult problems Why Virtasant At Virtasant, you will: Work directly with global enterprise customers Help organizations modernize and optimize cloud environments Influence architecture decisions at scale Work alongside elite engineers and architects across 130+ countries Help shape the future of AI-enabled cloud consulting Our team Optimization Locations Canada, USA, Latin America Remote status Fully Remote