Senior Ai Engineer With Italian- Ey Gds Spain - Hybrid

Ernst & Young Global Limited
Orce, Spain
22 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Languages
Italian

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Code Review Continuous Integration Distributed Systems Python (Programming Language) Machine Learning Software Tools Management of Software Versions Cloud Platform System Large Language Models
+7 more
Apache Spark Generative AI Kubernetes Information Technology Machine Learning Operations GPT Databricks

Job description

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.

Requirements

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all