Senior Solutions Architect - Cloud & AI Optimization
Virtasant · United States · Remote · Himalayas
This job is restricted to candidates in: US. Work model: Remote
About the job
Senior Solutions Architect –Cloud & AI Optimization
Location: Remote (Global, PST Overlap)
Company: Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries.
We help organizations modernize cloud platforms, improve engineering efficiency, and optimize cloud spend through architecture, automation, and FinOps best practices.
Our teams work directly with enterprise customers to identify inefficiencies, drive modernization efforts, and deliver measurable business outcomes.
The RoleWe are looking for a Senior Solutions Architect with deep FinOps and cloud optimization expertise.
This role sits within one of Virtasant's highest-impact customer engagements and requires someone who can confidently work with senior stakeholders, analyze complex cloud environments, and lead initiatives that improve efficiency and reduce spend.
This is not a generic cloud architecture role. The strongest candidates have real experience leading cloud cost optimization programs, understand the technical drivers behind cloud spend, and can connect architecture decisions to financial outcomes.
What You'll DoFinOps & Cloud OptimizationLead cloud cost optimization initiatives across large enterprise environments
Identify waste, inefficiencies, and architectural opportunities for improvement
Design governance frameworks that sustain long-term cloud efficiency
Analyze cloud usage patterns and spending trends
Partner with engineering teams to implement optimization recommendations
Work with cloud cost and usage data at scale
Design and optimize reporting, analytics, and decision-support systems
Build insights that drive cost optimization decisions
Collaborate with customers on cloud financial visibility initiatives
- Work directly with customer stakeholders
Lead discovery sessions and optimization reviews
Present recommendations to technical and business audiences
Build trusted advisor relationships with customers
- Guide engineering and data teams
Establish best practices around cloud efficiency
- Mentor team members
Drive architecture decisions that improve both technical and financial outcomes
- Demonstrated FinOps experience
Proven cloud cost optimization experience
- Strong AWS experience
- Strong SQL skills
- Strong Python skills
- Customer-facing consulting experience
Ability to communicate technical concepts clearly
Experience driving measurable cost reduction initiatives
Important: Candidates who have cloud experience but cannot demonstrate meaningful FinOps experience will not be considered.
Technical ExperienceFinOps- Cloud cost optimization
- Cost governance
- Cost allocation
- Showback and chargeback models
- Savings Plans and Reserved Instances
- Rightsizing
- Cloud economics
- AWS-native analytics services
- Athena
- Cost and usage reporting
- Data modeling
- Medallion architecture concepts
- Large-scale data analysis
- Python
- SQL
- Automation
- Reporting pipelines
- Data transformation workflows
- Kubernetes
- Cloud-native platforms
- Containerized workloads
Experience using AI tools in engineering or analytics workflows
Familiarity with LLMs and AI-assisted development
- Executive communication
- Stakeholder management
- Problem framing
- Technical consulting
- Data-driven decision making
Ability to connect technical recommendations to business outcomes
- Analytical and detail-oriented
Comfortable working directly with customers
- Strong communicators
- Curious problem solvers
- Hands-on and technically credible
- Focused on measurable outcomes
Work on high-impact cloud optimization programs
Partner with demanding enterprise customers
Influence architecture and cost optimization decisions
Work alongside experienced architects, engineers, and FinOps practitioners
Help customers save millions through better engineering and cloud decisions
Originally posted on Himalayas