Senior Solutions Architect - Cloud & AI Optimization

Virtasant; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Virtasant is seeking a senior, customer-facing architecture leader focused on FinOps-driven cloud and AI cost optimization for large enterprise estates. You will blend deep AWS and data work with executive advisory, helping engineering and finance leaders connect architecture decisions to measurable financial outcomes.

The role is remote with a global scope and meaningful overlap with Pacific Time business hours, offering high-visibility programs and collaboration with experienced architects,

Qualifications

• Proven FinOps leadership with measurable cost optimization results.
• Strong AWS background with native analytics experience.
• Proficient in Python and SQL; built automation and reporting pipelines.
• Experience communicating to executives.
• Familiar with cost governance, Savings Plans, Reserved Instances, rightsizing.

Responsibilities

• Lead cloud cost optimization programs across large enterprises.
• Design governance frameworks for long-term cloud efficiency and financial accountability.
• Analyze spend at scale and build reporting/analytics for optimization decisions.
• Run discovery sessions and optimization reviews for technical and business audiences.
• Advise senior stakeholders and partner with engineering teams to land recommendations.
• Guide engineering and data teams on cloud efficiency and best practices.
• Drive architecture decisions that improve both technical quality and financial performance.

Skills

FinOps

AWS

Python

SQL

Consulting

Cost governance

Data modeling

Medallion architecture

Tools

Athena

Cost Explorer

Job description

Role overview

A senior, customer-facing architecture role centered on FinOps-led cloud and AI cost optimization across large enterprise estates. The position blends deep AWS and data work with executive-level advisory, helping engineering and finance leaders connect architecture decisions to measurable financial outcomes. The work is remote with a global scope, requiring meaningful overlap with Pacific Time business hours.

Responsibilities

• Lead cloud cost optimization programs across large enterprise environments, identifying waste and architectural improvement opportunities.
• Design governance frameworks that sustain long-term cloud efficiency and financial accountability.
• Analyze cloud usage and spend at scale, building reporting, analytics, and decision-support systems that drive optimization choices.
• Run discovery sessions and optimization reviews, presenting recommendations to both technical and business audiences.
• Act as a trusted advisor to senior customer stakeholders, partnering with engineering teams to land recommendations.
• Guide engineering and data teams, establish best practices around cloud efficiency, and mentor practitioners.
• Drive architecture decisions that improve both technical quality and financial performance.

Requirements

• Demonstrable FinOps experience, including leading cost optimization programs with measurable results.
• Strong AWS background, including native analytics services such as Athena and cost/usage reporting.
• Strong Python and SQL skills, with experience building automation and reporting pipelines.
• Customer-facing consulting experience and the ability to communicate technical concepts to executives.
• Familiarity with cost governance, allocation, showback/chargeback, Savings Plans, Reserved Instances, rightsizing, and cloud economics.
• Data modeling experience, comfort with medallion architecture concepts, and large-scale data analysis.

Nice to have

• Kubernetes and cloud-native platform experience.
• Familiarity with LLMs or AI-assisted development in engineering or analytics workflows.
• Exposure to regulated industries or mission-critical enterprise estates.

Benefits and work setup

• Remote-first engagement with global scope and Pacific Time overlap.
• High-visibility customer programs with measurable financial impact.
• Collaboration alongside experienced architects, engineers, and FinOps practitioners.