3 days ago
Barcelona, SpainStaff+
Responsibilities
- Own end-to-end delivery of AWS-based GenAI and agentic AI solutions from business discovery and prototyping through production, adoption, and continuous improvement.
- Partner with product managers, product owners, and business stakeholders to translate workflows and ambiguous business priorities into technical solutions.
- Design, build, and deploy AI solutions using Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3, DynamoDB, and other AWS services.
- Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations, and guardrails.
- Build secure integrations across AI capabilities, enterprise data, AWS services, MuleSoft, Veeva, and other approved enterprise technologies.
- Apply engineering practices across architecture, coding, testing, CI/CD, security, privacy, observability, performance, and responsible AI.
- Evaluate AWS technologies and engineering approaches for scalability, maintainability, security, performance, and cost.
- Create reusable AWS components, technical patterns, and documentation while coaching colleagues and sharing engineering knowledge.
- Measure solution performance, adoption, and business value to drive continuous improvement and inform product and platform roadmaps.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline, or equivalent professional experience.
- Significant hands-on software engineering, AI engineering, or technical delivery experience taking solutions from problem definition and architecture through production.
- Experience delivering AI-enabled applications using LLMs, GenAI, RAG, prompt engineering, tool calling, or agentic workflow patterns.
- Strong programming experience in Python and/or Java.
- Hands-on experience with AWS AI and cloud technologies including Amazon Bedrock, SageMaker, OpenSearch, Lambda, API Gateway, S3, and DynamoDB.
- Experience designing, building, and operating secure, scalable cloud-native solutions on AWS.
- Experience integrating enterprise systems and data through APIs, middleware, event-driven approaches, or data pipelines.
- Strong stakeholder-facing delivery skills in complex, regulated enterprise environments.
- AWS certifications or practical experience across AWS cloud, AI, machine learning, data, or architecture domains is desirable.
- Experience with Snowflake Cortex AI, Azure AI, Claude, MuleSoft, Veeva, responsible AI, privacy, security, governance, reusable AWS components, engineering patterns, or technical enablement materials is desirable.
Benefits
- Annual base salary range of €63,800 to €118,400, with potential eligibility for a performance-based bonus.
- Insurance plans, retirement plans, wellbeing resources, and global recognition programs.
- Flexible and hybrid working options where possible; the role is located in Barcelona, Spain.
- Minimum 14 weeks of paid parental leave.
- Benefits and compensation are subject to country-specific legal requirements and applicable collective bargaining agreements.
About Novartis
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki