Senior Solutions Architect - Cost Optimization & AI

Posted Yesterday
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Hiring Remotely in Austin, TX, USA
In-Office or Remote
Senior level
Information Technology • Consulting
The Role
Client-facing senior solutions architect role designing multi-cloud (AWS/Azure/GCP) architectures, leading cloud modernization and cost-optimization (FinOps) engagements, and guiding AI adoption. Responsibilities include discovery workshops, architecture assessments, governance design, Kubernetes production guidance, mentoring teams, and delivering measurable cloud cost savings using tools like Helias.
Summary Generated by Built In

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 DoClient 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 ForNon-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

Skills Required

  • 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 (FinOps)
  • Production experience with Kubernetes
  • Strong communication and stakeholder management skills
  • Demonstrated use of AI in engineering, architecture, or consulting workflows
  • Ability to operate effectively in ambiguous environments
  • Strong engineering background and experience building or maintaining production systems
  • Experience with multi-account and multi-region cloud environments and governance
  • Familiarity with Savings Plans and Reserved Instances (cost instruments)
  • Python
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The Company
HQ: Austin, Texas
87 Employees
Year Founded: 2007

What We Do

Virtasant is a fully-remote and globally distributed technology and business services company that brings the breadth and capability of more than 4,000 technology professionals in 130 countries. We started working in the public cloud in 2007, and over the last 13 years, our team has built or re-platformed over 200 applications, with over 600 million lines of code currently under management. In this time, our team has developed proprietary software and methodologies that help us quickly and accurately identify opportunities to maximize the speed, scale and cost advantages that come with native cloud computing. Virtasant combines industry-leading cloud specialization with a deep bench of global experts across every aspect of the product lifecycle to deliver superior results to our clients. Virtasant offers services including cloud assessments and migrations, custom product development, information management, machine learning, remote team management, application modernization, full-lifecycle technology outsourcing, and more

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