Senior AI Developer

Aquent is partnering with a leading financial services organization that is undergoing a significant technical transformation, redefining the future of financial technology. This is a unique opportunity to join a dynamic team at the forefront of cutting-edge AI technology and complex financial domains, where your work will make a tangible impact on critical systems that underpin operations, ensuring a secure, seamless experience for millions of people. Are you ready to be at the forefront of innovation, shaping the next generation of financial technology? We are seeking a visionary individual to step into a pivotal role, leading AI-focused workflows across the System Development Life Cycle. This is your chance to drive innovation, enhance system reliability, and contribute directly to solutions that impact millions, all within a culture of continuous improvement. You will be instrumental in driving efficiency in how solutions are built and delivered, making a profound impact on the organization’s technological landscape. What You’ll Do Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, encompassing implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.Drive the adoption of AI assistance for common development tasks, including code suggestions, test generation, review support, and automation scripts, while maintaining clear ownership for correctness and quality.Pioneer the use of Generative AI to reduce context switching and accelerate delivery across various workflows, extending beyond just writing new code.Apply practical familiarity with leading AI coding tools within IDE/CLI-style workflows.Develop and implement agentic workflows and spec-driven development methodologies, translating low-level design artifacts into structured specifications that guide AI-assisted implementation.Establish team-level practices for effective AI-assisted development, including custom instructions and prompt engineering.Contribute to the modernization of core technology infrastructure and play a key role in IT transformations from legacy to distributed platforms.Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of innovation and continuous improvement. Must-Have Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.7+ years of professional software engineering experience actively developing large-scale software using Java, Spring framework, cloud development, and Web Services supporting high-volume transactions in a highly available environment.2+ years of hands-on experience with AI/ML implementation and production deployment.6+ years of experience working with containers and microservices in the cloud.6+ years of experience in cloud deployment within a continuous integration and continuous delivery (CI/CD) model.2+ years of experience with major cloud platforms.2+ years’ experience working with various modern databases.2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms.Hands-on experience with Large Language Models.Demonstrated exposure to, or hands-on experience with, Generative AI coding assistants used across day-to-day engineering workflows in the SDLC, applying engineering judgment and validation.Working knowledge of agentic workflows, spec-driven development, and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.Excellent communication skills and a proven ability to communicate and lead other engineers in a collaborative environment.Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, architects, and adjacent teams. Nice-to-Have Qualifications Master’s degree in Information Technology, Computer Science, or a related degree, or related practical experience.Good knowledge of messaging technologies.Experience in Test Driven Development, QA Automation, and a strong quality mindset and behaviors.Proficient in developing diagrams, architectural and design documentations, functional and technical specifications, and automated test processes.Willingness to learn all aspects of the tech stack and document findings.Ability to research and document production and test environments along with architecture and design work.Knowledge of Agile methodology and experience in an Agile working environment.Experience with collaboration and project management tools.