Architect, Senior

Archer; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Archer, in collaboration with Infor, seeks a Senior Architect to shape enterprise architecture across Java-based services, Python, and modern web experiences. You will define reusable patterns for AI-powered workflows and partner globally to deliver secure, high-performing product experiences.

The role emphasizes hands-on coding, architecture decisions, and guiding distributed systems, microservices, and cloud-native patterns on AWS, Docker/Kubernetes, and AI tooling.

Qualifications

• Experience architecting distributed systems at scale in production environments.
• Hands-on coding and design review to influence architecture decisions.
• Proficiency in Java and Python for backend services.

Responsibilities

• Define target architecture for agentic services built on Java/Spring Boot and AWS services.
• Write and review code and designs; prototype hard problems directly.
• Design architecture for scalable, secure, high-performance enterprise systems.
• Lead technical direction of front-end and back-end solutions for adaptive UX.
• Develop distributed systems and microservices with enterprise practices.
• Collaborate across teams on AI agents, LLM capabilities, and cloud services.
• Architect web applications using modern front-end and enterprise back-end tech.
• Advance cloud-native patterns using AWS and containerization.

Skills

Distributed systems

Cloud-native architectures

AI integration

Java

Python

Angular/Typescript

Docker/Kubernetes

AWS

AI coding tools

US work authorization

Education

Bachelor's degree in CS or related field

Tools

Claude API

MCP

LangChain

LangGraph

Spring AI

AWS Bedrock

SageMaker

OpenAI Codex

Job description

Archer is collaborating with Infor to connect them with exceptional professionals for this role.

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