AI Solutions Analyst

The IT Business Intermediate Analyst is an intermediate-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.

Responsibilities:

• Formulate and define systems scope and project objectives through research activities and provide guidance to new or lower level analysts
• Analyze business client needs, document requirements and new technology, and derive test cases
• Define and analyze enhancements and assist in redesigning business processes and process automation
• Prepare reports, metrics and presentations and exchange ideas/information in a concise and logical manner between business units and IT
• Identify risk and consider business implications of the application of technology to the current business environment
• Test systems to ensure projects meet requirements and identify system problems to develop solutions based on analyses
• Resolve problems by translating business requirements into technical solutions and identifying and selecting solutions through the application of acquired technical experience and precedent
• 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.
• Independently exercise judgement and decision-making in managing day-to-day responsibilities, including evaluating complex situations, resolving issues, and determining appropriate courses of action. Drive and influence delivery of work within area of responsibility, contributing to operational priorities and ensuring progress against timelines. Will be accountable for delivery outcomes, including quality and timelines, and may have a measurable impact on business results within scope. In addition, will provide oversight on execution by reviewing outputs, guiding approach where required, and addressing gaps to ensure delivery meets expected standards. Take ownership of decisions and deliverables within remit, applying analytical thinking and professional expertise to solve problems and ensure effective outcomes.
• Support execution of business decisions within the function by translating direction into actionable steps and ensuring effective follow‑through. Address non‑routine situations and practical challenges by applying judgement to identify solutions or take decisions within scope. Will support effective functioning of the business area by ensuring processes are implemented consistently and outputs meet expected standards. Operate across varied and evolving situations, exercising discretion to respond to changing requirements and priorities, while ensuring reliability, timeliness, and quality in execution within defined scope.
• Applies domain expertise and advanced analytical capability to deliver outputs aligned with established standards and professional benchmarks. Evaluate business requirements by analyzing complex issues, forming well‑reasoned views, and recommending practical, implementable solutions. Apply structured thinking, analytical rigor, and creativity in approaching work, particularly in situations where standard methodologies may require refinement. Exercise sound professional judgement in interpreting requirements and determining appropriate courses of action, taking into account the broader business context and potential implications.

Qualifications:

• 2-5 years of relevant experience
• Experience in data analysis with intermediate/advanced Microsoft Office Suite skills
• Knowledge of applicable business systems and industry standards
• Proven analytical, data analysis, organization and presentation skills
• Demonstrated ability to manage a diverse project portfolio
• Consistently passionate for research, ideation and exploration with understanding of business analysis procedures and concepts
• Consistently demonstrate clear and concise written and verbal communication
• Proven ability to work independently and in a team with understanding of how collaboration accomplishes objectives

Education:

• Bachelor's degree/University degree or equivalent experience

El Analista de Soluciones IA forma parte del equipo de la célula de Laboratorio de IA. Este equipo define como se construyen las plataformas de agentes y los módulos de IA de forma consistente, segura y reutilizable. Las soluciones agenticas tienen como objetivo mejorar procesos de atención a clientes, venas y/o internos que mejoren la experiencia de nuestros clientes y/o que tengan valor asociado relevante. Tiene la responsabilidad de que cada solución cumpla con los estándares técnicos del banco y puedan integrarse sin fricciones.

banco.

Esta posición tiene dos especialidades, la de construcción de módulos y la calidad y operación.          

Responsabilidades

• Entender los procesos que los agentes automatizarán
• Participar en el refinamiento de especificaciones y en la validación de resultados
• Prompt engineering aplicado: few-shot examples, structures outputs (JSON), instrucciones de formato, manejo de casos borde
• LLMs y sus APIs: parámetros, límites de contexto, formatos de respuesta
• Colaborar estrechamente con equipos multidisciplinarios (negocio, operaciones, UX, datos, arquitectura y tecnología) para comprender necesidades, diseñar soluciones de IA y agentes inteligentes, alinear prioridades y asegurar su adopción efectiva a escala.
• undefined  Tecnologías deseables:LLMs y frameworks de agentes. RAG Deseable Python u otro lenguaje de programación AWS: IAM, VPC, EC2, S3, EKS/ECS Infrastructure as Code: Terraform, CloudFormation Datos: Apache Spark, Cloudera Platform, SQL CI/CD: GitHub Actions, GitLab CI, Jenkins Agentes y AI: Arquitecturas de agentes, integración con LLMs Frameworks: LangChain / LangGraph. Perfil profesionalIngeniería en computación, sistemas, software, ciencia de datos o afín Deseable 3+ años de experiencia, al menos 1 año trabajando con LLMs o IA agentica en proyectos reales

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Job Family Group:

Technology

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Job Family:

Business Analysis / Client Services

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Time Type:

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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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