Senior Ai Engineer With Italian- Ey Gds Spain - Hybrid

Senior AI Engineer with Italian- EY GDS Spain - HybridLocation: MalagaPor favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.This opportunity is for a Senior AI Engineer who will lead the architecture, design, and delivery of advanced AI and Generative AI solutions for enterprise clients.You will collaborate with multidisciplinary teams to shape end-to-end AI strategies, deliver scalable implementations, guide junior resources, and ensure the quality, security, and robustness of AI systems deployed in production environments.ResponsibilitiesLead the analysis of business requirements and translate them into technical roadmaps.Design and develop enterprise?grade components such as inference services, ML/LLM pipelines, APIs, and microservices.Define and implement MLOps/LLMOps pipelines, including model registry, versioning, CI/CD, monitoring, retraining, and rollback strategies.Implement advanced GenAI solutions, such as RAG, evaluation frameworks, guardrails, retrieval strategies, secure orchestration, and agentic workflows.Ensure non?functional requirements such as security, resilience, privacy?by?design, observability, and auditability.Mentor junior engineers, conduct code reviews, and contribute to internal AI community assets, accelerators, and best practices.Manage stakeholders, align on KPIs, and support proposal/presales activities when required.Skills and Attributes for SuccessYou bring deep technical expertise, architectural vision, strong leadership, and the ability to operate effectively in complex enterprise environments.Collaboration, communication, and a strategic mindset are key to succeeding in this role.QualificationsBachelor's or Master's degree in STEM fields (Computer Science, Engineering, Data Science, Mathematics, Statistics).4-6+ years of experience in AI/ML engineering and enterprise delivery.Advanced proficiency in Python, including production?grade coding (APIs, services, testing, CI/CD).Proven experience deploying AI/ML solutions to production (monitoring, retraining, lifecycle management).Concrete experience with GenAI/LLM frameworks and architectures (RAG, evaluation, prompt strategy, integration).Strong knowledge of cloud architectures (Azure preferred) and security/compliance principles.Technical leadership experience and mentoring ability.Professional proficiency in English.Professional proficiency in Italian (mandatory).Ideally, You'll Also HaveExperience with Kubernetes, event?driven architectures, or large?scale distributed systems, and knowledge of data engineering tools (Spark/Databricks).Experience in regulated industries or auditing contexts.Open?source contributions, publications, certifications.What We Look ForProfessionals who combine deep technical skills with leadership, ownership, and a passion for shaping impactful AI solutions in enterprise environments.BenefitsContinuous learning: Develop the mindset and skills to navigate whatever comes next.Success as defined by you: Tools and flexibility to make a meaningful impact, your way.Diverse and inclusive culture: Embraced for who you are and empowered to use your voice.xqbhyrx #J-*****-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

stakeholders, align on KPIs, and support proposal/presales activities when required.Skills and Attributes for SuccessYou bring deep technical expertise, architectural vision, strong leadership, and the ability to operate effectively in complex enterprise environments. Collaboration, communication, and a strategic mindset are key to succeeding in this role.QualificationsBachelor's or Master's degree in STEM fields (Computer Science, Engineering, Data Science, Mathematics, Statistics).4-6+ years of experience in AI/ML engineering and enterprise delivery.Advanced proficiency in Python, including production?grade coding (APIs, services, testing, CI/CD). Proven experience deploying AI/ML solutions to production (monitoring, retraining, lifecycle management). Concrete experience with GenAI/LLM frameworks and architectures (RAG, evaluation, prompt strategy, integration). Strong knowledge of cloud architectures (Azure preferred) and security/compliance principles.Technical leadership experience and mentoring ability.Professional proficiency in English.Professional proficiency in Italian (mandatory). Ideally, You'll Also HaveExperience with Kubernetes, event?driven architectures, or large?scale distributed systems, and knowledge of data engineering tools (Spark/Databricks). Experience in regulated industries or auditing contexts.Open?source contributions, publications, certifications.What We Look ForProfessionals who combine deep technical skills with leadership, ownership, and a passion for shaping impactful AI solutions in enterprise environments.BenefitsContinuous learning: Develop the mindset and skills to navigate whatever comes next.Success as defined by you: Tools and flexibility to make a meaningful impact, your way.Diverse and inclusive culture: Embraced for who you are and empowered to use your voice. xqbhyrx #J-*****-LjbffrHay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.