• Own the end-to-end administration of the Association’s primary AI platform and Microsoft Copilot • Manage user provisioning and deprovisioning, SSO configuration, permission tiers, and seat allocation across standard and Pro/Max license tiers • Ensure platform configurations meet enterprise security standards and Responsible AI guidelines • Design, build, and maintain integrations between AI platforms and core enterprise systems • Partner with Enterprise Risk to ensure all AI platform configurations meet data security policies • Track platform consumption patterns and generate usage analytics • Serve as the primary technical point of contact with AI platform vendors • Lead technical due diligence when new AI tools are proposed • Own the build and maintenance of internal CoE tooling • Forecast platform capacity needs as adoption grows

• Experience in architecting and implementing solutions with LLMs in a corporate environment; • Proficiency with agent systems, workflows, chains, or multi-agent architectures; • Experience with frameworks such as LangGraph, Agno, LangChain, or equivalents; • Ability to structure approaches for orchestration, memory, context, tool use, and integration with corporate data sources; • Experience defining guardrails, fallbacks, observability, security, and human-in-the-loop mechanisms; • Ability to translate business use cases into scalable technical designs; • Strong communication skills to serve as a technical reference for the internal team and leadership; • Develop and implement artificial intelligence solutions.

¡Hola! Somos Cashea 👋 y nuestra misión es devolverle a los venezolanos la oportunidad de acceder al crédito a través de un modelo de negocio BNPL (buy now, pay later). Desde nuestro lanzamiento en 2022, nos hemos dedicado a promover la inclusión financiera. Hoy contamos con más de 9 millones de usuarios activos, tanto consumidores como comercios, y nos hemos convertido en una marca de confianza en Venezuela, ganándonos el corazón y la mente de las personas. Resumen del rol Buscamos un perfil Senior AI Engineer con experiencia profunda en el diseño e implementación de sistemas escalables de agentes basados en LLMs, capaces de operar en entornos de producción, con múltiples fuentes de información, herramientas externas y flujos complejos de decisión. El enfoque de este rol es la construcción de arquitecturas robustas de agentes (single y multi-agent) para procesos no determinísticos con alto impacto en el negocio, integrando capacidades de razonamiento, ejecución de acciones, memoria y evaluación continua, bajo esquemas de human-in-the-loop. El candidato ideal ha llevado agentes desde diseño → producción → operación, y entiende los trade-offs reales entre calidad, latencia, escabilidad, costos y confiabilidad. Si cuentas con este toolkit, ¡sigue leyendo! Responsablidades - Diseñar la arquitectura técnica de sistemas de agentes de IA (componentes, flujos, dependencias). - Definir protocolos de interacción entre agentes (mensajería, turn-taking, roles). - Implementar agentes con tool calling, planificación de tareas y ejecución segura. - Diseñar y mantener estrategias de memoria, contexto y recuperación de conocimiento (RAG, embeddings). - Colaborar con AI Platform en: - Versionado de prompts - Evaluaciones automáticas - Monitoreo de calidad y costos - Definir criterios de escalamiento a humano y mecanismos de fallback. - Analizar fallos en producción (hallucinations, loops, degradación de performance). - Iterar agentes basándose en métricas reales de negocio y operación. Requisitos - Experiencia comprobable diseñando y desplegando aplicaciones basadas en LLMs en producción. - Dominio de arquitecturas de agentes: - Planner / executor - Tool-using agents - Multi-agent orchestration - Self-reflection / critic loops - Experiencia implementando state management y memory (short-term, long-term, episodic). - Integración de agentes con APIs, bases de datos, sistemas internos y event-driven workflows. - Conocimiento práctico de prompt engineering avanzado (system prompts, role separation, constraints). - Experiencia diseñando y operando human-in-the-loop workflows. - Buen entendimiento de trade-offs entre: - Latencia VS Calidad - Costo VS Profundidad de razonamiento - Autonomía VS Control - Sólidos fundamentos de ingeniería de software (testing, versionado, observabilidad). Habilidades - Pensamiento arquitectónico orientado a sistemas distribuidos. - Capacidad para diseñar soluciones resilientes a inputs ambiguos. - Criterio técnico para decidir cuándo NO usar un agente. - Alta capacidad de debugging en sistemas probabilísticos. - Comunicación clara para documentar y justificar decisiones técnicas. Nice to have - Experiencia con frameworks de agentes (LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.). - Conocimiento de LLMOps / MLOps: - observabilidad - A/B testing de prompts - evaluación offline/online - Experiencia optimizando costos de LLMs a escala. - Conocimiento de safety, guardrails y control de riesgos en sistemas generativos. - Background en CX, cobranza, fintech o sistemas conversacionales complejos. - Experiencia en arquitecturas orientadas a eventos o microservicios. Por que te encantará trabajar en Cashea En Cashea tenemos una cultura de trabajo basada en la confianza y el propósito. Si quieres saber por qué somos el lugar ideal para ti, estos son nuestros valores fundamentales: - No trabajamos en piloto automático. Todo lo que hacemos y compartimos —dentro y fuera— es intencional. Nos apasiona crear ideas siendo plenamente conscientes del impacto que tienen en nuestros usuarios. - Tu creatividad y curiosidad son tus activos más importantes. - Tu voz importa. Escuchamos y abrimos espacio para las ideas y el feedback. Aquí todos pertenecen; lo que es importante para ti, lo es para nosotros. - Valoramos la transparencia. La claridad nos mantiene conectados y con los pies en la tierra. - Por último, pero no menos importante, nos enfocamos en el impacto real. Todo lo que hacemos está destinado a marcar la diferencia. ¿Te identificas? ¡Postúlate ahora, nos encantaría conocerte!

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Who We Are At Kyndryl, we design, build, manage, and modernize the mission‑critical technology systems that the world depends on every day. As the world’s largest IT infrastructure services provider, we partner with enterprise clients across industries to drive transformation through innovation, automation, and AI at global scale. We are seeking an AI Engineer to help lead the design and delivery of intelligent automation and agentic AI solutions that enhance productivity, improve decision‑making, and unlock measurable business outcomes for both Kyndryl and our customers. Role Overview As an AI Engineer, you will design, develop, and deploy enterprise‑grade AI and intelligent automation solutions, spanning low‑code platforms (e.g., Microsoft Power Platform and Copilot Studio) and pro‑code frameworks (e.g., LangChain, Semantic Kernel, Azure AI, and open‑source agentic stacks). This role sits at the intersection of engineering excellence, innovation, and business transformation, enabling next‑generation, AI‑powered solutions across infrastructure, operations, and enterprise workflows. Key Responsibilities Solution Design & Development - Design and implement end‑to‑end intelligent automation and AI agent solutions using: - Microsoft Power Platform (Power Apps, Power Automate, Dataverse) - Microsoft Copilot Studio - Pro‑code AI frameworks and services - Build agentic AI systems leveraging large language models (LLMs), reasoning engines, memory architectures, and orchestration frameworks such as: - LangChain - Semantic Kernel - Azure AI Foundry Agentic AI & Intelligent Applications - Develop custom AI agents capable of planning, reasoning, and acting across enterprise systems via APIs, tools, and multi‑turn conversations. - Create AI‑driven business applications that blend user input, enterprise data, and intelligent responses to improve operations, service delivery, and decision‑making. - Design and support retrieval‑augmented generation (RAG) and memory‑enabled architectures for scalable enterprise use cases. Integration & Platform Enablement - Integrate AI solutions with: - Microsoft Graph - RESTful services - External enterprise and hyperscaler platforms (Azure, AWS, GCP) - Ensure seamless interoperability across infrastructure, application, and data layers. Stakeholder Collaboration - Partner with Kyndryl engineering teams, architects, and business stakeholders to identify high‑value AI use cases. - Translate business requirements into secure, scalable, and production‑ready AI solutions aligned with client and organizational goals. Innovation, Governance & Scale - Stay current on advancements in generative AI, agent frameworks, and prompt engineering, proactively recommending modern approaches. - Ensure solutions adhere to enterprise governance, security, compliance, and data privacy standards. - Contribute to Kyndryl AI communities of practice, reusable assets, and scalable delivery patterns. Your Future at Kyndryl Kyndryl offers a clear, merit‑based career progression model with opportunities to grow within the engineering job family. With strong performance and continuous learning, you can advance into senior technical leadership roles such as: - Senior Engineer - Principal Engineer - Distinguished Engineer - Vice President of Software Engineering These roles provide the opportunity to influence strategy, mentor teams, and drive innovation across some of the world’s most complex enterprise environments. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Required Skills and Experience - Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. - 2+ years of experience designing or delivering AI solutions, including intelligent automation, chatbots, or AI agents. - Proficiency with Microsoft Power Platform, including: - Power Apps - Power Automate - Copilot Studio (or Power Virtual Agents) - Hands‑on experience with LLM technologies (e.g., OpenAI, Azure OpenAI Service). - Experience integrating REST APIs and external data sources into applications. - Strong skills in prompt engineering, natural language processing (NLP), and understanding LLM capabilities and constraints. - Familiarity with agent orchestration frameworks (e.g., LangChain, Semantic Kernel, Haystack, RAG pipelines). - Ability to work independently while collaborating effectively within cross‑functional enterprise teams. - Strong problem‑solving, documentation, and communication skills. Preferred Qualifications - Microsoft Certified: Power Platform Developer Associate (or equivalent). - Experience with hyperscaler AI services, such as: - Azure Cognitive Services / Azure AI - AWS Bedrock - Google Vertex AI - Familiarity with open‑source AI frameworks, including Hugging Face, LangChain, or FastAPI. - Knowledge of DevOps and CI/CD practices, version control, and deployment pipelines across low‑code and pro‑code environments. - Experience delivering AI‑powered enterprise solutions for domains such as HR, Finance, Operations, or IT Service Management. - Exposure to memory‑enabled agent architectures and advanced RAG implementations. The compensation range for the position in the U.S. is - $143,640 to $273,000 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $172,440 to $327,600 California (All Other): $158,040 to $300,360 Colorado: $143,640 to $273,000 Massachusetts: $143,640 to $300,360 New York City: $172,440 to $327,600 Washington: $158,040 to $300,360 Washington DC: $158,040 to $300,360 This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.