Senior Delivery Consultant - Machine Learning (GenAI)
Job ID: 3121250 | AWS EMEA SARL (Spain Branch)
Job Overview
The AWS Industries team collaborates with enterprise customers to implement Generative AI solutions across strategic industry verticals. As a Senior Delivery Consultant, you will partner with customers to scope use cases, architect and deploy advanced AI/ML solutions, and scale innovations that create measurable business value.
Key Responsibilities

Lead end-to-end delivery of AI/ML engagements, from strategic planning through to pre-production deployment and optimization.
Architect and implement advanced solutions leveraging AWS AI/ML services, with a focus on Generative AI using Amazon Bedrock and SageMaker.
Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams.
Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps.
Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice.
Influence customer AI strategy through technical expertise and industry insights.
Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions.
Provide thought leadership in internal and external engagements.
Support pre‑sales activities to provide technical expertise and review project scoping and risks.

Basic Qualifications

Strong experience building large‑scale machine learning or deep learning models and developing Generative AI models.
Experience in data and machine learning engineering and cloud‑native technologies.
Strong communication skills across technical and non‑technical audiences.
Experience facilitating discussions with senior leadership regarding technical/architectural trade‑offs, best practices, and risk mitigation.

Preferred Qualifications

Master’s degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science.
Knowledge of core AWS services (e.g., EC2, ELB, RDS, Route 53, S3).
Experience with software development life cycle (SDLC) and agile/iterative methodologies.
Hands‑on experience building models with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet.

Amazon Equal Opportunity Employment
Amazon is an equal opportunity employer. We value your passion to discover, invent, simplify and build. If you need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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