Senior AI Developer [AQ-13368]

About the role

Aquent is partnering with a leading financial services organization at the forefront of a significant technical transformation. This company is modernizing its core technology infrastructure to challenge the status quo in the finance industry, building intelligent systems that impact millions of people’s financial security. In this role, you will lead AI-focused workflows across the System Development Life Cycle, driving innovation and efficiency in how solutions are built and delivered. Your work will enhance the reliability and performance of systems underpinning operations, ensuring a secure and seamless experience for customers.

Responsibilities

• Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Drive the adoption of AI assistance for common development tasks such as code suggestions, test generation, review support, and automation scripts while maintaining ownership for correctness and quality.
• Pioneer the use of Generative AI to reduce context switching and accelerate delivery across workflows, extending beyond 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 for 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 developers, architects, and adjacent teams to foster a culture of innovation and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience 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 of experience working with various modern databases.
• 2+ years of 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.
• Understanding of broker-dealer capabilities and operations.
• Excellent communication skills and a proven ability to lead other engineers in a collaborative environment.
• Collaborative mindset with a bias for action to engage effectively with developers, architects, and adjacent teams.

Nice-to-Have Qualifications

• Master’s degree in Information Technology, Computer Science, or a related field, or related practical experience.
• Good knowledge of messaging technologies.
• Experience in the Financial Services industry.
• Experience in Test Driven Development, QA Automation, and a strong quality mindset.
• Proficiency in developing diagrams, architectural and design documentation, 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, architecture, and design work.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with collaboration and project management tools.

Benefits

Eligible talent at Aquent Talent gain access to amazing benefits, including:

• Subsidized health, vision, and dental plans.
• Paid sick leave.
• Retirement plans with a company match.
• Free online training through Aquent Gymnasium.