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Virtasant

Virtasant

Senior Solutions Architect - Cost Optimization & AI

Company

Virtasant

Role

Senior Solutions Architect - Cost Optimization & AI

Job type

-

Found on Mokaru

1 week ago

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Salary

Not disclosed by employer

Job description

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

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