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