Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
Buscamos un/a Senior AI Engineer para diseñar, desarrollar y llevar a producción soluciones de Inteligencia Artificial con impacto real en negocio.
Formarás parte de la ampliación del proyecto de AIOps, contribuyendo a la ejecución de casos de uso reales dentro de las Operaciones del banco y ayudando a escalar soluciones de IA a entornos críticos.
Trabajarás en proyectos de ML y LLMs desde la idea hasta producción, colaborando estrechamente con equipos de Producto, Data y Software en un entorno técnico, colaborativo y en evolución constante.
Responsabilidades principales:
Diseñar y desarrollar soluciones de IA/ML end-to-end (desde el prototipo hasta producción).
Definir la arquitectura del sistema (modelos, servicios, pipelines de datos, inferencia en tiempo real/batch).
Entrenar, evaluar y mejorar modelos (feature engineering, experimentación, métricas, análisis de errores, mitigación de sesgos).
Industrializar modelos (MLOps): versionado, reproducibilidad, CI/CD, despliegue, monitorización, retraining, gestión de drift.
Optimizar rendimiento y costes (latencia, throughput, cuantización, batching, ...).
Asegurar calidad y gobernanza: trazabilidad, documentación, cumplimiento (privacidad, seguridad, políticas internas, auditoría).
Contribuir a la calidad del código y a las buenas prácticas del equipo, apoyando a perfiles junior y mid.
Por qué unirte
Proyectos de IA con impacto real y visibilidad.
Trabajo cercano con equipos multidisciplinares y para un cliente muy top en el sector banca.
Espacio para aprender, experimentar y proponer mejoras técnicas.
Entorno colaborativo y diverso.
Flexibilidad y cultura orientada a resultados.
Si te motiva el rol y cumples gran parte de los requisitos (no hace falta todos), nos encantará conocerte.
Who You Are
Imprescindible
Experiencia desarrollando y desplegando modelos de Machine Learning en entornos de producción.
Experiencia con LLMs: prompting, RAG, embeddings, fine‑tuning y evaluación de calidad.
Buen dominio de Python y fundamentos de ingeniería de software (testing, clean code, diseño de APIs).
Data engineering básico-medio: SQL, calidad de datos, pipelines (batch/stream), formatos y orquestación.
Capacidad para explicar decisiones técnicas, riesgos y trade‑offs a públicos técnicos y no técnicos
Deseable
Conocimientos de cloud (AWS, Azure o GCP) y servicios gestionados de ML.
Experiencia con prácticas de MLOps (versionado, reproducibilidad, despliegue y monitorización).
Conocimientos de Docker/Kubernetes y serving (FastAPI, gRPC).
Experiencia en NLP o Computer Vision, según el dominio.
Experiencia previa en mentoring o revisiones de código/diseño.
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.
What You Can Expect
Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.
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.
Skills Required
- Experience developing and deploying machine learning models in production environments.
- Experience with LLMs: prompting, RAG, embeddings, fine-tuning, and quality evaluation.
- Good mastery of Python and software engineering fundamentals.
- Basic to intermediate data engineering skills: SQL, data quality, pipelines.
- Ability to explain technical decisions to technical and non-technical audiences.
Kyndryl Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.
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Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
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Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
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Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.
Kyndryl Insights
What We Do
We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.
