Senior Solutions Architect - Cost Optimization & AI

Virtasant

$120K — $160K *
US-AnywhereRemote in Austin, TX
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience with AWS, Azure, or GCP
  • Professional services or consulting experience in customer-facing roles
  • Proven leadership in cloud modernization or migration initiatives
  • Deep understanding of cloud cost optimization principles
  • Production experience with Kubernetes
  • Strong communication and stakeholder management skills
  • Experience integrating AI into engineering or architecture workflows
  • Ability to thrive in ambiguous settings

Responsibilities

  • Collaborate with clients to pinpoint business and technical goals
  • Craft architectures for AWS, Azure, and GCP environments
  • Facilitate discovery workshops and perform architecture assessments
  • Transform technical challenges into feasible roadmaps
  • Act as a trusted advisor to client engineering teams
  • Drive cost optimization efforts for enterprise cloud solutions
  • Identify and execute on architectural changes for improved efficiency
  • Guide clients on adopting AI in workflows

Benefits

  • Work remotely with a global team across various time zones
  • Engage directly with high-profile enterprise clients
  • Play a crucial role in cloud architecture decisions
  • Collaborate with a diverse group of elite engineers and architects
  • Contribute to the evolution of AI in cloud consulting
Full Job Description
Senior Solutions Architect - Cost Optimization & AI

Location: Remote (US Time Zones)
Company: Virtasant

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

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