Enterprise Solutions Architect

GreenSky Administrative ServicesAtlanta, GA
Hybrid

About The Position

GreenSky is seeking an experienced Enterprise Solutions Architect to lead the design and governance of cloud-native, AI-enabled technology solutions that support business growth and digital transformation. This role partners across engineering, product, infrastructure, security, and business teams to define scalable architectures, modernize applications, drive cloud adoption, and enable AI-powered software delivery practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 10+ years of experience in software engineering, infrastructure, cloud architecture, or enterprise architecture.
  • 5+ years designing and implementing enterprise-scale cloud solutions.
  • Deep expertise in AWS, Azure, cloud-native architectures, and Infrastructure as Code.
  • Experience with application modernization, microservices, containerization, API management, and serverless platforms.
  • Strong knowledge of DevSecOps, CI/CD pipelines, automation, and software delivery best practices.
  • Experience with AI platforms, Generative AI technologies, LLMs, RAG architectures, and AI governance.
  • Proven ability to lead large-scale transformation initiatives and influence cross-functional stakeholders.

Nice To Haves

  • Master's degree in a related field.
  • AWS Certified Solutions Architect Professional.
  • Microsoft Azure Solutions Architect Expert.
  • AI or cloud architecture certifications.
  • Experience with Amazon Bedrock, Azure AI Services, OpenAI, Anthropic Claude, and agentic AI frameworks.

Responsibilities

  • Design and govern secure, scalable, and resilient enterprise solutions across cloud, application, and data platforms.
  • Lead cloud architecture and modernization initiatives across AWS and Azure environments.
  • Establish architecture standards for microservices, API-first development, event-driven systems, containers, and serverless technologies.
  • Drive adoption of AI-enabled engineering capabilities, including Generative AI, AI agents, and intelligent automation.
  • Partner with engineering teams to implement modern DevSecOps, CI/CD, observability, and software delivery practices.
  • Develop technology roadmaps, architecture standards, and governance processes that align with business objectives.
  • Evaluate emerging technologies and provide strategic recommendations to leadership.
  • Mentor technical teams and serve as a trusted advisor on enterprise architecture and transformation initiatives.

Benefits

  • medical, dental, vision, disability insurance, life insurance, 401k retirement benefits, paid time off, paid holidays, and paid personal/sick time.
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