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
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
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
Guide engineering teams through architecture decisions
Mentor engineers and architects
Ensure solutions are scalable, secure, and operationally sound
Provide technical leadership throughout modernization programs

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
Executive stakeholder engagement
Discovery and problem framing
Technical leadership
Architecture tradeoff analysis

Senior Solutions Architect – Cost Optimization, AI

Key skills