16 часов назад
Forward Deployed Engineer - AI Architect Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer - AI Architect Lead (AI): Building and deploying custom AI solutions and agentic systems for customer engagements with an accent on end-to-end delivery, cloud platforms, distributed systems, and production reliability. Focus on designing multi-agent orchestration and RAG architectures, optimizing scalable AI systems, and translating business challenges into measurable technical outcomes.
Location: Madrid, Spain; willingness to travel and work on customer premises as required.
Company
operates and modernizes mission-critical technology systems for leading businesses, including AI-powered solutions and platforms.
What you will do
- Translate customer business challenges into fit-for-purpose technical solutions and lead solution design.
- Build and iterate custom AI solutions using agentic AI frameworks.
- Own delivery end to end, from scoping through production deployment, adoption, and measurable business outcomes.
- Troubleshoot and optimize system performance, scalability, and reliability.
- Capture deployment learnings, document best practices, and share insights with platform and product teams.
- Contribute code and feedback to the evolution of ’s AI platforms.
Requirements
- Demonstrable expertise in Python or another modern language such as C#, Node, or TypeScript.
- Solid understanding of software delivery, Git and GitHub, Pandas, Spark, cloud AI platforms, and distributed computing architectures.
- Deep expertise in one or two technical domains with broad knowledge of AI/ML, cloud, and consulting.
- Experience or practical knowledge in agentic AI systems, multi-agent orchestration, agent protocols, RAG architectures, and structured and unstructured knowledge sources.
- Knowledge of system optimization, security best practices, and translating business requirements into technical solutions for diverse stakeholders.
- Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a related discipline, or equivalent professional experience.
Nice to have
- Experience with TensorFlow or PyTorch.
- Familiarity with Hugging Face and community-driven AI tools and libraries.
- Experience with LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI, or similar orchestration frameworks.
Culture & Benefits
- Flexible, supportive, and hybrid-friendly company culture.
- Programs supporting financial, mental, physical, and social well-being.
- Career development tools, personalized goals, continuous feedback, coaching, and hands-on learning.
- Access to certifications and learning opportunities from Microsoft, Google, and Amazon.
- Culture centered on inclusion, empathy, belonging, continuous learning, and shared success.
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