The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications:

• AI Engineer with Python
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  Experience: At least 10+ years of hands-on application development experience.
  Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
  Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation.
  Develop and maintain data pipelines using Python and related libraries (e.g., Polar ,Pandas).
  Optimize ETL processes and data pipelines for performance and scalability.
  Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs.
  Implement data quality checks and monitoring to ensure data accuracy and consistency.
  Troubleshoot and resolve data-related issues.
  Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
  Stay up-to-date with the latest trends and technologies in data management and analytics.

  Database Knowledge: Basic knowledge of databases such as Oracle/SQL.
  Scripting: Basic knowledge of Python.
  Problem-Solving: Excellent analytical and problem-solving skills.
  Communication: Strong communication and interpersonal skills.
  Teamwork: Ability to work effectively in a team environment.
  Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering

  Deep hands-on experience in engineering and executing scalable enterprise solutions.
  
  Expert-level proficiency in Python (e.g., FastAPI, Flask, PySpark) or Java (e.g., Spring Boot, Spring Cloud, Spring Security).
  
  Proficiency in UI (e.g., Angular, React, Node.js, TypeScript) for full-stack development.
  
  Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.
  
  Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
  
  Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N).
  
  Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
  
  Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.
  
  Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems.
  
  Demonstrated experience in designing and implementing robust APIs for AI services.
  
  Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews. Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects. Proven expertise in system design, application development, and ensuring operational stability for AI initiatives.
  
  Deep experience with application and data architecture patterns and designs. Experience leveraging managed services and existing platforms, with a strong emphasis on API-First Design, microservices, and event-driven architectures.
  
  Hands-on experience with Docker and Openshift.
  
  

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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