Senior Solutions Architect - Cost Optimization & AI

Virtasant • Austin, TX

1d • Remote

About The Position

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. We also develop and operate Helias, Virtasant's cloud cost optimization platform, which helps organizations understand, optimize, and govern cloud spend at scale. 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.

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
• Enterprise cloud architecture
• Multi-account and multi-region environments
• High-availability and scalable systems
• Security and governance best practices
• Strong engineering background
• Experience building or maintaining production systems
• Python preferred
• Experience discussing implementation tradeoffs with engineering teams
• FinOps principles
• Rightsizing
• Savings Plans and Reserved Instances
• Cloud governance
• Architecture-driven cost reduction
• Practical experience using AI tools and workflows
• Understanding of LLMs and enterprise AI adoption
• Ability to evaluate AI technologies and tradeoffs
• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed