Job Description

Location: Southlake, TX Salary: $85.00 USD Hourly - $90.00 USD Hourly Description: Our client is currently seeking a Senior AI Developer Tech Lead Location: Southlake (On-site 4 days per week) Duration : 6 months with possibility of extension About the job: At our organization, you are empowered to make a meaningful 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 a significant technical transformation in Broker-Dealer Systems and the modernization of our core technology infrastructure. As a Senior AI Developer Tech Lead, you will act as a pioneer for AI-focused workflows across the System Development Life Cycle (SDLC). You will work at the intersection of cutting-edge artificial intelligence and complex financial domains, building intelligent systems that directly impact the retirement and financial security of millions of people.

• Lead AI Integration: Drive the daily use of AI assistance for common development tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) while maintaining clear ownership of correctness and quality.
• Optimize Workflows: Apply GenAI in ways that reduce context-switching and accelerate delivery across typical engineering workflows, going beyond just writing new code.
• Drive Spec-Driven Development: Establish and lead team-level practices for effective AI-assisted development, leveraging agentic workflows, custom instructions, prompt engineering, and translating low-level design artifacts (class structures, API contracts, data models) into structured specs.
• Architect and Modernize: Lead the design and architecture of highly available, cloud-based microservices from the ground up, while simultaneously driving legacy-to-distributed platform modernization initiatives.
• Collaborate and Execute: Operate with a bias for action to effectively engage with fellow developers, architects, and adjacent teams.
• Mentor and Guide: Lead by example, fostering a collaborative engineering culture while coaching and grooming junior developers on modern best practices.

• Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.
• 12+ years of professional software engineering experience actively developing large-scale software using Java, Spring framework, cloud development, and Web Services to support high-volume transactions in a highly available environment.
• 6+ years of experience working with containers and microservices in the cloud, including cloud deployment in a continuous integration and continuous delivery (CI/CD) model.
• 5+ years of experience with cloud platforms (e.g., PCF, AWS, or Google Cloud Platform) and working with databases such as MongoDB, Aerospike, and/or PostgreSQL.
• 2+ years of hands-on experience with AI/ML implementation, production deployment, and Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
• 2+ years of experience in IT transformations and system modernization initiatives from legacy to distributed platforms (e.g., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB).
• Demonstrated experience acting as a Tech Lead, including mentoring junior developers and designing/architecting systems from scratch in a greenfield environment.
• Hands-on experience with GenAI coding assistants (e.g., GitHub Copilot, Claude Code) across day-to-day SDLC engineering workflows within IDE/CLI environments.

• Master's degree in Information Technology, Computer Science, or a related practical field.
• Domain expertise in the Financial Services industry, specifically with an understanding of broker-dealer capabilities and operations.
• Strong working knowledge of messaging technologies (e.g., RabbitMQ, Kafka, or equivalent).
• Experience with Test Driven Development (TDD), QA Automation, and a strong quality-first mindset.
• Proficiency in developing architectural and design documentation (e.g., Visio diagrams), functional/technical specifications, and automated test processes.
• Knowledge of Agile methodologies and experience utilizing the Atlassian tool stack (JIRA and Confluence).
• Ability to independently research, document, and learn all aspects of the tech stack, including production, test environments, architecture, and design work.

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