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Architect, Senior

Infor
United States, Georgia, Atlanta
Oct 26, 2026
Help architect the next generation of agentic experiences inside Infor applications! As a Senior Architect, you will shape scalable enterprise architecture across Java-based services and modern web experiences, define reusable patterns for AI-powered workflows, and partner globally to turn LLM and autonomous-agent capabilities into secure, high-performing product experiences.

A Typical Day in the Life Includes:
  • Defining the target architecture for agentic services built on Java and Spring Boot and on AWS (Bedrock, SageMaker, Lambda, EKS), including the LLM provider APIs and tool-use protocols (such as the Anthropic Claude API and MCP) and the web front ends that consume them
  • Staying hands-on: personally writing and reviewing code and designs, and prototyping hard problems directly, to remain close enough to the codebase to make credible architecture calls
  • Designing architecture for highly scalable, secure, and performance-focused enterprise systems supporting agentic experiences
  • Leading the technical direction of front-end and back-end solutions that enable adaptive and dynamically generated user experiences
  • Developing and guiding distributed systems and microservices using enterprise-grade development practices
  • Collaborating across multiple teams to define and implement solutions involving AI agents, LLM-based capabilities, and cloud services
  • Architecting web applications that leverage modern front-end frameworks and enterprise back-end technologies
  • Driving cloud-native implementation patterns using AWS and containerized technologies
  • Evaluating and incorporating emerging AI-assisted development approaches into software delivery practices

Basic Qualifications:
  • Deep, demonstrated experience architecting distributed, cloud-native systems in production at scale - this is the primary gate.
  • Hands-on experience using an AI coding tool in daily development work (e.g., Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool).
  • Experience with Java and Python
  • Experience with Angular or Typescript
  • Experience with containerization using Docker or Kubernetes
  • Experience using AWS
  • Exposure to an agentic framework (i.e. Spring AI, LangChain 4j, LangGraph, LangChain, or similar)
  • Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future

Preferred Qualifications:
  • Experience architecting systems with explicit governance, auditability, or explainability requirements
  • Familiarity with the Anthropic Claude API and Model Context Protocol (MCP), or an equivalent LLM provider API and tool-use protocol
  • Experience building UX frameworks, component libraries, or design systems used across engineering teams
  • Experience designing schema-driven or metadata-driven user interface systems
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