AI Principal Engineer
$60,830–$86,680 year
Hybrid · Madrid, Madrid, Spain
Job Summary
AI Principal Engineer to embed with business teams and build AI-powered, scalable tools across finance, HR, operations, sales, and marketing. Role emphasizes rapid prototyping with modern AI/ML tech (LLMs, Copilots, automation pipelines), production deployments with reliability and measurable impact, and bridging technical and non-technical stakeholders. Requires end-to-end delivery, global collaboration, and creating reusable AI deployment frameworks to scale across an enterprise. The position operates globally with distributed teams and a hybrid work arrangement in Madrid, Spain.
Required Qualifications
- Experience: 7–10+ years in software engineering, machine learning, or applied AI
- Strong experience designing and deploying production-grade systems in cloud environments
- Experience building and deploying AI/ML systems, ideally with LLMs or generative AI
- Experience building, orchestrating, monitoring agentic/multi-agentic AI workflows
- Ability to work across the stack (APIs, data pipelines, front-end interfaces when needed)
- Deep understanding of system design, distributed systems, and scalable architectures
- Solid system design skills with a focus on scalability, reliability, and security
- Knowledge of data engineering and analytics workflows
- Experience working in global, cross-functional teams
- Familiarity with governance, security, and compliance considerations for enterprise AI
- Proven ability to navigate ambiguity and move quickly in fast-paced environments
- Strong product and user mindset focused on delivering practical, impactful solutions
- Excellent communication skills; able to work directly with stakeholders across all levels
- High ownership and bias for action, ability to support multiple workstreams in parallel
- String experience in mentoring and guiding team members to make good decisions
- Nice to Have: Familiarity with enterprise systems (ERP, CRM, workflow tools)
- Experience across Azure AI, Microsoft Copilot, and the broader Microsoft ecosystem
- Experience implementing AI tools, GenAI services, building and orchestrating agentic AI workflows in real-world business processes
- Experience in forward-deployed, solutions engineering, or consulting-style roles
- Background in process optimization, automation, or digital transformation initiatives
Additional Requirements
- None specified
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