# Forward Deployed Engineer – AWS Stack at Novartis

Novartis is hiring a Forward Deployed Engineer – AWS Stack. It pays €64k-€118k a year and Level rates it Works on AI ●●●○; you can [apply on Novartis](https://jobsbylevel.com/go/72fa5999-56f4-4c01-8e90-e74dee2d14fc?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. Barcelona Gran Vía.

## Details

- Company: [Novartis](https://jobsbylevel.com/companies/novartis)
- AI level: AI Level 3 (score 67 out of 100)
- Location: Barcelona Gran Vía
- Salary: €64k-€118k
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/72fa5999-56f4-4c01-8e90-e74dee2d14fc?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=forward-deployed-engineer-aws-stack-at-novartis-841d77

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/forward-deployed-engineer-aws-stack-at-novartis-841d77

## Description

Salary Range: €63,800.00 - €118,400.00 Job Description Summary #LI-Hybrid Location: Barcelona, Spain At Novartis, we combine cutting-edge science with innovative digital technology to help bring medicines to patients faster. As a Forward Deployed Engineer – AWS Stack, you will work at the intersection of AI, engineering, product and business, turning high-value challenges into secure, scalable and production-ready solutions on AWS. You will build enterprise GenAI and agentic AI solutions using technologies such as Amazon Bedrock, Amazon SageMaker and AWS cloud services, helping teams move from high-value business problems to production-ready AI-enabled products. This is a hands-on role where you will move from discovery and rapid prototyping through to engineering, deployment, adoption and continuous improvement. Job Description Key responsibilities Own the end-to-end delivery of AWS-based AI and agentic AI solutions, translating business priorities into clear technical solutions and measurable outcomes. Work directly with Product Managers, Product Owners and business stakeholders to understand workflows, rapidly prototype solutions and take viable concepts into production. Design, build and deploy enterprise GenAI and agentic AI solutions using AWS cloud services, including technologies such as Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3 and DynamoDB. Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations and appropriate guardrails to deliver accurate and responsible outcomes. Build secure integrations across AI capabilities, enterprise data and business platforms, including AWS services, MuleSoft, Veeva and other approved enterprise technologies as relevant. Apply strong engineering practices across architecture, coding, testing, CI/CD, security, privacy, observability, performance and responsible AI. Evaluate AWS technologies and engineering approaches, making pragmatic decisions around scalability, maintainability, security, performance and cost. Turn ambiguous business requirements into practical, production-ready AWS solutions through rapid prototyping and iterative delivery. Create reusable AWS components, patterns and documentation, sharing knowledge and coaching colleagues to strengthen internal engineering capability. Measure solution performance, adoption and business value, using insights to continuously improve solutions and inform product and platform roadmaps. Essential requirement s 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, with a strong track record of taking solutions from problem definition and architecture through to 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 using APIs, middleware, event-driven approaches or data pipelines, alongside strong production engineering practices. Strong stakeholder-facing delivery skills, with the ability to translate ambiguous business challenges into clear technical approaches within a complex, regulated enterprise. Desirable requirements AWS certifications or practical experience across relevant AWS cloud, AI, machine learning, data and architecture domains would be an advantage. Experience with complementary enterprise AI and data technologies such as Snowflake Cortex AI, Azure AI, Claude, MuleSoft or Veeva would be beneficial. Experience

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/forward-deployed-engineer-aws-stack-at-novartis-841d77

Source: https://jobsbylevel.com/jobs/forward-deployed-engineer-aws-stack-at-novartis-841d77

## Cite this page

Level. https://jobsbylevel.com/jobs/forward-deployed-engineer-aws-stack-at-novartis-841d77.

Get job alerts: https://jobsbylevel.com/newsletter