Mainframe Modernization SME (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Mainframe Modernization SME (AI): Designing and deploying complex AI-powered solutions to modernize mission-critical mainframe systems with an accent on agentic AI frameworks and RAG architectures. Focus on translating business challenges into production-ready technical solutions and optimizing system performance and scalability.
Location: Madrid, Spain (Hybrid)
Company
runs and reimagines mission-critical technology systems for the world's leading businesses using AI-powered insights.
What you will do
- Translate business challenges into high-quality technical solutions and AI prototypes.
- Build and iterate custom AI solutions using agentic AI frameworks.
- Own end-to-end delivery from scoping to production deployment.
- Troubleshoot and optimize system performance, scalability, and reliability.
- Capture deployment learnings and contribute to the evolution of core AI platforms.
Requirements
- Proficiency in Python (or C#, Node.js, TypeScript).
- Experience with software delivery lifecycles, Git, GitHub, Pandas, and Spark.
- Hands-on experience with cloud AI platforms such as AWS, Azure, or Google AI.
- Degree in Computer Science, Informatics, Data Science, Engineering, or equivalent professional experience.
- Willingness to travel and work on customer premises as required.
Nice to have
- Experience with TensorFlow, PyTorch, or Hugging Face.
- Expertise in multi-agent systems (LangGraph, Semantic Kernel, AutoGen, CrewAI).
- Practical knowledge of RAG architectures and integrating structured/unstructured knowledge sources.
- Strong business acumen and ability to communicate technical value to executives.
Culture & Benefits
- Hybrid-friendly work environment and focus on employee well-being through Be Well programs.
- Access to cutting-edge certifications from Microsoft, Google, and Amazon.
- Supportive culture emphasizing empathy, shared success, and a sense of belonging.
- Personalized development goals and continuous feedback loops to support career growth.
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