AI-Driven Enterprise Platform Architect

Evolver Transformation, Inc.; Palo Alto, Northern (CA, KY); Hybrid; USD 170,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Hybrid work model

Career growth

Innovative culture

Job summary

Evolver Transformation, Inc. is seeking an experienced Enterprise Platform Architect to push availability, reliability, scalability, performance, and cost efficiency of our enterprise AI platform.

You will collaborate with Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to define measurable requirements and identify bottlenecks. Responsibilities include designing redundancy, recovery, and testing, while leading architectural initiatives across teams.

Qualifications

• 10+ years of experience architecting enterprise SaaS platforms or similarly complex production systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Strong architectural tradeoffs across reliability, performance, complexity, and cost.

Responsibilities

• Define measurable availability, resilience, and recovery requirements.
• Architect for failures across infrastructure, APIs, databases, external dependencies, and AI models.
• Design redundancy, failover, retries, timeouts, graceful degradation, and recovery mechanisms.
• Identify and eliminate single points of failure.
• Establish resilience testing with production-readiness metrics.
• Lead architecture across multiple engineering teams to drive execution.

Skills

Distributed systems

Reliability

Cloud architecture

Azure

APIs

Networking

Databases

Observability

Load testing

Resilience engineering

Disaster recovery

Leadership

Education

Bachelor's or Master's degree in Computer Science or Engineering

Job description

Evolver Transformation, Inc. is seeking an experienced Enterprise Platform Architect to push availability, reliability, scalability, performance, and cost efficiency of our enterprise AI platform.

You will collaborate with Engineering, Cloud Infrastructure, DevOps, QA, and AI teams to define measurable requirements and identify bottlenecks. Responsibilities include designing redundancy, recovery, and testing, while leading architectural initiatives across teams.