AI Systems Architect — Lead Engineer

Commerce; Austin (TX); On-site; USD 163,000 - 245,000; Full time

Job summary

Commerce is seeking a hands-on AI Lead Engineer to define the architectural direction of our AI services and guide production-grade solutions. You will shape patterns, drive major initiatives from design through delivery, and ensure reliability and cost-awareness in production.

You will partner with Product and Engineering leadership to translate business objectives into scalable AI architectures, balancing deep development with architectural oversight.

Qualifications

• 7+ years of professional software engineering experience.
• Strong proficiency in Go (GoLang) and building production-grade API-driven services.
• Proficiency in Python for experimentation and prototyping.
• 3+ years building and deploying AI/ML systems in production.
• Strong experience with modern LLM ecosystems (OpenAI, Anthropic, Hugging Face).
• Deep understanding of LLM-based solution patterns: RAG, schema-driven generation, and orchestration.
• Experience with cloud infrastructure (AWS, GCP, or Azure).

Responsibilities

• Define and evolve architectural direction for AI services and initiatives.
• Lead high-level and low-level design for major AI programs.
• Establish architectural patterns and technical guidelines for engineers.
• Build and evolve scalable, API-driven AI services in Go.
• Develop LLM-based solutions and RAG workflows.
• Drive experimentation and bring production-ready implementations.
• Mentor Senior AI Engineers through reviews and guidance.

Skills

Go (GoLang)

Python

AI/ML in production

LLM ecosystems

RAG & schema-driven generation

APIs & architecture

Cloud exposure (AWS/GCP/Azure)

Tools

Vector databases

Inference systems

MCP (Model Context Protocol) servers

Job description

Commerce is seeking a hands-on AI Lead Engineer to define the architectural direction of our AI services and guide production-grade solutions. You will shape patterns, drive major initiatives from design through delivery, and ensure reliability and cost-awareness in production.

You will partner with Product and Engineering leadership to translate business objectives into scalable AI architectures, balancing deep development with architectural oversight.