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

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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonGenerative AIAPI developmentsystems analysisapplication developmentreal-time AI solutionsstreaming AI solutionsdata processingcode reviews

Soft Skills

leadershipproblem-solvingproject managementcommunicationmentoringadaptabilitycollaborationanalytical thinkingtask allocationtranslating requirements