Role: Lead AI Developer
Location: Southlake, TX (Hybrid – 4 Days onsite in every week)
Duration: 12 Months
Job Description:
At Client, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
Join us for significant technical transformation in Broker-Dealer Systems and the modernization of our core technology infrastructure. As a Senior AI Developer Tech Lead, this role will be a leader in AI focused workflows across the System Development Life Cycle. You’ll work at the intersection of cutting-edge AI technology and complex financial domains, building intelligent systems that directly impact millions of people’s retirement security.
Required Qualifications
Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
Demonstrated experience acting as Tech Lead or Team lead and grooming/mentoring junior developers.
Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
Demonstrated experience designing & architecting systems from Scratch in a green field environment.
Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.