AI-Driven Software Architect & Engineering Lead

Slalom; Tampa (FL); On-site; USD 125,000 - 171,000; Full time

Benefits offered by this job

Meaningful time off

Parental leave

401(k) with match

Health, dental, & vision coverage

Fertility assistance

Disability coverage

Job summary

Slalom is seeking a Software Architect to own architecture for AI-powered client solutions. You will lead teams in AI-first engineering practices and guide the adoption of GenAI across the software development lifecycle.

You'll work with engineers, product leaders, designers, and data practitioners to turn outside-in insights into roadmaps, while coaching clients on effective AI-accelerated workflows and tooling.

Qualifications

• 6+ years building and operating production software.
• Experience delivering GenAI-enabled solutions.
• API, microservice, security expertise.
• Proficiency in TS/Node, Python or Java.
• Experience with React/Next.
• Cloud platforms and DevOps practices.
• Ability to lead and mentor teams.
• Strong technical and business communication.
• Exposure to AI governance or safety practices.

Responsibilities

• Redefine the AI-first SDLC from ideation to operations.
• Lead context engineering strategies and data grounding.
• Manage GenAI-driven teams across multi-developer environments.
• Ship AI-enabled platforms with reusable patterns and CI/CD hooks.
• Stay hands-on by prototyping architecture using DevOps and observability.
• Coach stakeholders on AI-accelerated ways of working.

Skills

AI-first architecture

GenAI integration

APIs & microservices

TypeScript/Node

Python

Java

React/Next

Cloud: AWS/Azure/GCP

Kubernetes

CI/CD & IaC

Observability

Leadership & mentorship

Tools

GitHub Copilot

Cursor

Claude Code

Job description

Slalom is seeking a Software Architect to own architecture for AI-powered client solutions. You will lead teams in AI-first engineering practices and guide the adoption of GenAI across the software development lifecycle.

You'll work with engineers, product leaders, designers, and data practitioners to turn outside-in insights into roadmaps, while coaching clients on effective AI-accelerated workflows and tooling.