Senior AI Developer [209973]

Partnering with Aquent, a global leader in talent solutions, our client is at the forefront of transforming the financial services industry. This innovative organization is committed to challenging the status quo, delivering cutting-edge solutions that directly impact millions of people’s financial well-being and retirement security.

Are you ready to be a trailblazer at the intersection of AI innovation and complex financial domains? We are seeking a highly skilled and passionate Senior AI Developer to join a pioneering team, leading the charge in AI-focused workflows across the System Development Life Cycle. This is your chance to build intelligent systems that don’t just solve problems, but actively shape the future of financial technology, making a tangible difference in the lives of millions. You will be a key leader in the technical transformation and modernization of core technology infrastructure, directly contributing to intelligent systems that safeguard retirement security.

• What you will do:**
• Lead AI-focused workflows across the System Development Life Cycle (SDLC), including implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation.
• Leverage GenAI coding assistants for common development tasks such as code suggestions, test generation, review support, automation scripts, and troubleshooting, ensuring correctness and quality.
• Apply GenAI in ways that reduce context switching and accelerate delivery across various engineering workflows.
• Develop and implement large-scale software solutions using Java, Spring framework, cloud development, and Web Services, supporting high-volume transactions in highly available environments.
• Design, deploy, and manage AI/ML models in production environments.
• Work with containers and microservices in cloud environments, adhering to continuous integration and continuous delivery (CI/CD) practices.
• Contribute to IT transformations and system modernization initiatives, migrating legacy platforms to distributed architectures.
• Utilize Large Language Models (LLMs) and apply prompt engineering techniques, including custom instructions and agentic workflows, to establish effective AI-assisted development practices.
• Collaborate with developers, architects, and cross-functional teams, fostering a collaborative environment and leading other engineers.
• 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 in 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 in a continuous integration, and continuous delivery model (CI/CD).
• 2 years of experience with major cloud platforms (e.g., AWS, GCP).
• 2 years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
• 2 years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms (e.g., migrating to Java applications with SQL or NoSQL databases).
• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
• Demonstrated exposure to, or hands-on experience with, GenAI coding assistants (e.g., GitHub Copilot, Claude Code) across day-to-day engineering workflows (implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, documentation), applying engineering judgment and validation.
• Practical familiarity with AI assistance for common development tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
• Ability to apply GenAI to reduce context switching and accelerate delivery across typical workflows.
• Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
• Understanding of financial services capabilities and operations.
• Excellent communication skills; 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 field, or equivalent practical experience.
• Good knowledge of messaging technologies (e.g., Rabbit MQ, Kafka).
• 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 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 the Atlassian tool stack (e.g., JIRA, Confluence).
• About Aquent Talent:**
  
  

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.