Principal Software Engineer: AI Platform Architect

Infor; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Infor Consulting Services in Dallas seeks a Principal Software Engineer to blend architecture with hands-on engineering, guiding a senior team as we shape a new technology capability from the ground up. You will design scalable systems, evaluate AI approaches (LLMs, RAG) and make long‑term technical decisions while remaining deeply involved in coding, prototyping and delivery to customers.

You’ll be at the forefront of building and integrating AI-enabled solutions, collaborating with experienced

Qualifications

• Significant professional software engineering experience across complex products and platforms.
• Strong architectural and long-term technical decision making.
• Track record of hands-on software development and modern AI technologies.
• Balance prototype exploration with scalable, production-ready architecture.

Responsibilities

• Architect and build a new technology capability from the ground up.
• Own key technical and architectural decisions.
• Stay hands-on with software development, design and code.
• Build AI-enabled solutions using strong engineering practices.
• Evaluate architectural approaches and prototype ideas.
• Leverage existing Infor tech and external platforms effectively.
• Design scalable solutions for long-term use, not just initial delivery.
• Work with AI tech including LLMs and RAG.
• Establish engineering standards and architectural principles for a new team.
• Operate with autonomy, identifying problems and opportunities.
• Collaborate with experienced colleagues as capability grows.

Skills

Architectural thinking

Hands-on coding

AI technologies

LLMs

RAG

Python

JavaScript/TypeScript

Systems architecture

Product engineering

Tech decision making

Learning agility

Job description

Infor Consulting Services in Dallas seeks a Principal Software Engineer to blend architecture with hands-on engineering, guiding a senior team as we shape a new technology capability from the ground up. You will design scalable systems, evaluate AI approaches (LLMs, RAG) and make long‑term technical decisions while remaining deeply involved in coding, prototyping and delivery to customers.

You’ll be at the forefront of building and integrating AI-enabled solutions, collaborating with experienced