AI and Application development Engineer- Assistant Vice President

Applications Development Senior Programmer Analyst (Associate Vice President, Software Senior Engineer) The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities, significantly augmented by Artificial Intelligence capabilities. About the Role: We are seeking a highly skilled and motivated Associate Vice President (AVP), Software Senior Engineer, to join our dynamic team. This role is crucial for designing, developing, and maintaining robust and scalable middleware solutions. The ideal candidate will possess deep expertise in Java and Spring Boot, coupled with a strong understanding of database technologies such as Oracle, SQL, and MongoDB. Furthermore, we are looking for an individual with a keen interest and demonstrable exposure to Artificial Intelligence (AI) and a passion for leveraging AI to drive productivity gains, innovate our software development processes, and enhance solution quality. You will play a pivotal role in shaping our technical landscape, mentoring junior engineers, and contributing to high-impact projects through an AI-first development approach. Responsibilities (Leveraging AI): Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:   Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation. Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity:   Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions. Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery:   Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data. Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:   Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences. Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning:   Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices. Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:   Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem. Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines:   Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design. Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems:   Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows. Contribute to the strategic planning and technical roadmap for our middleware platforms:   Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights. Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development:   Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation. Monitor and control all phases of the development process (analysis, design, construction, testing, and implementation) and provide user and operational support:   Implement AI-driven dashboards and reporting for real-time project health, automated progress tracking, and proactive identification of development lifecycle bottlenecks. Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgment:   Augment human analytical capabilities with AI-powered data analysis and pattern recognition to rapidly assess complex scenarios and inform robust decision-making. Recommend and develop security measures in post-implementation analysis of business usage to ensure successful system design and functionality:   Use AI-driven security analysis tools to continuously monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls. Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems:   Employ AI to quickly understand user pain points, simulate solution impacts, and generate clear documentation or prototypes for client review. Ensure essential procedures are followed and help define operating standards and processes:   Utilize AI for automated compliance checks against defined procedures and for suggesting improvements to operational workflows based on performance data. Serve as advisor or coach to new or lower-level analysts:   Provide AI-assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets:   Leverage AI for advanced risk analytics, scenario planning, and compliance monitoring, enhancing the accuracy and foresight of risk assessments. Required Technical Skills: Core Java:   Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals. Frameworks:   Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security). Middleware:   Proven experience in designing and developing RESTful APIs and microservices. Database Technologies (Must): Relational Databases:   Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures. NoSQL Databases:   Experience with MongoDB, including data modeling, querying, and performance tuning.

CI/CD & DevOps:   Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes). Version Control:   Proficiency with Git and standard branching strategies (e.g., Gitflow). Testing:   Experience with unit testing frameworks (JUnit, Mockito) and integration testing. Web Technologies (Beneficial):   Familiarity with web services (SOAP/REST), XML, JSON. AI Tools & Methodologies (Must): Demonstrable exposure and practical experience with AI development tools such as   Devin, GitHub Copilot, Claude, Anti Gravity, and Codex . Strong understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (e.g., for code generation, testing, debugging, and documentation). A keen desire to apply AI technologies to improve software development processes and outcomes.

Qualifications: 7-12 years of relevant experience in applications development, with a strong emphasis on modern software engineering practices and AI integration. Experience in systems analysis and programming of software applications, demonstrating success in leveraging AI for efficiency and quality. Experience in managing and implementing successful projects, including those utilizing AI-driven development approaches. Working knowledge of consulting/project management techniques/methods, adaptable to AI-accelerated project lifecycles. AI certification is plus Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements, utilizing AI tools for enhanced adaptability and problem-solving. Education: Bachelor’s degree/University degree or equivalent experience.

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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