Collections Senior Java Developer, VP

CitiIrving, TX
$125,760 - $188,640Onsite

About The Position

The Collections Senior Java Developer is a senior-level technology role responsible for leading the design, development, and delivery of complex applications supporting collections and financial systems. This position combines deep Java-based application development expertise with hands-on leadership in Generative AI (GenAI) solution delivery. The role requires close collaboration with technology and business stakeholders to deliver scalable, secure, and production-ready solutions while mentoring team members and ensuring alignment with enterprise architecture, compliance, and ethical standards.

Requirements

  • 6–10 years of experience in application development or systems analysis, with extensive experience developing Java-based enterprise applications.
  • 2+ years of real-world experience designing and deploying production-ready Generative AI solutions.
  • Strong understanding of GenAI models and architectures, with practical experience applying them to real-world business problems.
  • Advanced programming skills, including strong proficiency in Java and Python for data processing, API development, and GenAI integration.
  • Proven experience delivering complex, large-scale technology projects.
  • Subject Matter Expert (SME) in at least one area of applications development.
  • Solid understanding of AI compliance, guardrails, and responsible AI practices.
  • Ability to adapt quickly to changing priorities and business needs.
  • Demonstrated leadership, problem-solving, and project management skills.
  • Clear, concise written and verbal communication skills.
  • Java, Python
  • Microservices, RESTful APIs, event-driven architectures
  • Spring / Spring Boot
  • Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, chatbot frameworks
  • SQL/NoSQL databases, real-time and streaming processing
  • CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), cloud-native deployment patterns
  • Automated testing, observability, secure coding practices, compliance and governance

Nice To Haves

  • Experience with collections systems, financial data, and enterprise financial services applications.
  • Contributions to open-source projects related to Generative AI or machine learning.
  • Experience leveraging AI-powered tools for application development and deployment.
  • Master’s degree preferred.

Responsibilities

  • Lead end-to-end application development, including systems analysis, design, development, testing, and deployment, in alignment with enterprise architecture standards.
  • Partner with multiple management and technology teams to ensure effective system integration and to identify and deliver enhancements supporting new products and process improvements.
  • Resolve high-impact, complex technical and business problems through in-depth analysis of business processes, system flows, and industry standards.
  • Design and maintain high-quality, scalable, and resilient Java-based applications supporting collections and financial platforms.
  • Establish and enforce development standards for coding, testing, debugging, deployment, and operational support.
  • Provide technical leadership and guidance to mid-level developers and analysts through mentoring, task allocation, and code reviews.
  • Design, develop, and deploy end-to-end Generative AI solutions for collections use cases, with hands-on experience delivering production-ready implementations.
  • Collaborate closely with AI/ML engineers to implement GenAI technologies, including retrieval-augmented generation (RAG) pipelines, vector databases, prompt engineering, and chatbot solutions.
  • Contribute directly to the codebase and participate in architectural and technical decision-making for GenAI-enabled applications.
  • Integrate GenAI solutions seamlessly into existing Java-based systems and enterprise workflows.
  • Support deployment, scalability, reliability, and maintainability of AI-enabled solutions in production environments.
  • Contribute to the development and optimization of real-time and streaming AI solutions.
  • Stay current with advancements in generative AI and proactively share best practices, patterns, and knowledge with the team.
  • Work closely with business stakeholders to understand requirements and translate them into effective, maintainable technical solutions.
  • Ensure adherence to ethical AI principles, data privacy standards, and applicable regulatory requirements.
  • Assess and manage risk in technical and business decisions, safeguarding the firm, its clients, and its assets.
  • Comply with applicable laws, policies, and control standards, escalating and managing issues with transparency and accountability.

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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