.NET AI Developer

Partnering with Aquent, a leading organization in the financial services sector is seeking an innovative and driven technologist. This company is at the forefront of digital transformation, building cutting-edge solutions that impact millions of users and drive the future of finance. Join a team dedicated to engineering excellence and leveraging advanced technologies to solve complex business challenges. Are you ready to shape the future of intelligent financial solutions? We are looking for a visionary technologist to lead the integration of artificial intelligence into critical business workflows. In this pivotal role, you will be at the intersection of robust engineering, event-driven architectures, and cloud-native platforms, directly influencing how intelligent solutions are built and delivered within a dynamic financial environment. Your expertise will be instrumental in modernizing systems, enhancing developer productivity, and driving significant advancements in our technology landscape. What You Will Do Lead the design and implementation of highly scalable, resilient, and event-driven applications utilizing .NET, event streaming platforms, and cloud-native architecture patterns. Build and modernize high-volume services, APIs, and distributed application capabilities essential for reliable transaction processing and business-critical workflows. Collaborate closely with architects, product owners, developers, and cross-functional technology teams to translate business capabilities into high-quality technical solutions. Leverage Generative AI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while ensuring ownership for correctness and quality. Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to significantly improve developer productivity and team execution. Drive engineering quality through automated testing, rigorous code review discipline, performance analysis, observability, resiliency design, and production readiness practices. Support modernization initiatives by transitioning legacy capabilities towards distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores. Guide and collaborate with engineers in a team-oriented environment, establishing repeatable practices for effective and responsible AI-assisted development. Required 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 developing scalable, high-performance .NET, cloud-based, and web services applications that support high-volume transactions in highly available environments. Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using .NET and event streaming platforms, with strong knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures. Working experience with message queuing systems, event streaming platforms, log management tools, data interchange formats (JSON/XML), caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns. Experience being a technical lead for a team and/or project. 6+ years of experience building and deploying cloud-native applications using cloud providers, containerization, orchestration tools, microservices, and CI/CD practices. Experience with cloud platforms and deployment environments such as platform-as-a-service, or leading cloud providers. 2+ years of experience working with databases such as document databases, in-memory data stores, relational databases or comparable relational and NoSQL platforms. 2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed .NET applications and modern data platforms. 2+ years of hands-on experience with AI/ML implementation and production deployment or AI-assisted engineering practices. Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, PaLM, or comparable enterprise AI platforms. Demonstrated hands-on experience using Generative AI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting and documentation. Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation. 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. Knowledge of Agile methodology and experience in an Agile working environment. Experience with development and project management tool suites, including issue tracking and collaboration platforms. Understands financial domain capabilities and operations, with preferred experience in the financial services industry. Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment. Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes. Preferred Qualifications Master’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or a related degree, or equivalent practical experience. Experience in Test Driven Development, Behavior Driven Development, QA automation, and a quality engineering mindset and behaviors. Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation. Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high-volume distributed platforms. Exposure to AI-assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns. Experience mentoring engineers on .NET engineering practices, cloud-native implementation, distributed systems, and responsible AI-assisted software delivery. Please note This position is available on a W-2 employment basis only and is not open to Corp-to-Corp arrangements. The client is also unable to provide employment-based visa sponsorship or transfers for this role. 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. subsidized health vision dental plans paid sick leave 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. #J-18808-Ljbffr Aquent