Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Overview

Senior Solutions Architect for emerging technologies including AI, Generative AI, and machine learning. Provides technical leadership to design complex, cloud-based solution architectures that support business strategy.

What you'll do

• Lead discovery with business and technology partners to understand objectives, constraints, current-state systems, and integration points.
• Document current-state architecture and define target-state designs (system context, components, integrations, data flows).
• Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns.
• Create strategies, roadmaps, and migration designs to transition applications and data to cloud platforms.
• Design AI/ML and Generative AI solution patterns (including RAG, tool/API integration, prompt/context management, and evaluation).
• Establish best practices for MLOps/AI operations (model versioning, deployment, monitoring, drift detection, incident response, cost management).

What you'll need

• Bachelor’s degree in specified fields or equivalent practical experience.
• 5+ years of experience in agile software delivery with increasing architecture and design responsibility.
• Experience designing distributed systems using microservices and/or serverless patterns.
• Experience integrating AI/ML capabilities into applications, including model serving considerations and data dependencies.
• Experience with programming languages such as Java, Python, Node.js, or Scala.
• Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and core cloud design patterns.

Details

• Location: Nationwide Remote.