3 days ago
Barcelona, SpainSenior
Responsibilities
- Own end-to-end delivery of AWS-based AI and agentic AI solutions from business discovery through production deployment and continuous improvement.
- Partner with product managers, product owners, and business stakeholders to understand workflows, prototype solutions, and translate ambiguous requirements into technical approaches.
- Design, build, and deploy enterprise GenAI and agentic AI solutions using AWS services including Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3, and DynamoDB.
- Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations, and guardrails.
- Build secure integrations across AI capabilities, enterprise data, and business platforms such as MuleSoft and Veeva.
- Apply engineering practices covering architecture, coding, testing, CI/CD, security, privacy, observability, performance, and responsible AI.
- Evaluate AWS technologies and approaches for scalability, maintainability, security, performance, and cost.
- Create reusable AWS components, engineering patterns, documentation, and enablement materials while coaching colleagues.
- 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 designing or 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 relevant AWS AI and cloud technologies such as 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, and architecture domains are desirable.
- Experience with Snowflake Cortex AI, Azure AI, Claude, MuleSoft, or Veeva is beneficial.
- Experience delivering AI, GenAI, or cloud-native solutions in regulated enterprises is desirable.
- Familiarity with responsible AI, privacy, security, governance, reusable AWS components, engineering patterns, technical documentation, and 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