AWS AI Engineer (AI & Data)

Quick Facts

• Permanent role focused on AWS engineering for AI & Data (AI/GenAI).

Description

Design, build, and maintain cloud-native solutions on AWS. Develop and integrate AI and Generative AI solutions using Amazon Bedrock and Amazon SageMaker AI, contributing to enterprise AI platforms/AI factories and GenAI patterns such as RAG and AI agents. Automate AWS deployments with Infrastructure as Code and CI/CD, applying AWS best practices for security, scalability, observability, and cost efficiency.

Responsibilities

• Design, build, and maintain cloud-native AWS solutions in collaboration with Solution Architects, engineering teams, and client stakeholders
• Develop and integrate AI and Generative AI solutions on AWS (Amazon Bedrock, Amazon SageMaker AI)
• Build enterprise AI platforms / AI factories with reusable capabilities for AI development, deployment, and operations at scale
• Implement GenAI patterns such as Retrieval-Augmented Generation (RAG), AI agents, Knowledge Bases, guardrails, and model integrations connected to enterprise apps and data
• Automate cloud environments and deployments using Infrastructure as Code and CI/CD; ensure AWS best practices (security, scalability, observability, cost)
• Turn designs and prototypes into production-grade solutions; troubleshoot complex issues and improve solutions continuously
• Participate in POV/POC initiatives to explore new AWS/AI capabilities and contribute reusable assets and standards

Requirements

• Strong hands-on experience building solutions on AWS; solid knowledge of core AWS services across compute, storage, networking, databases, integration, and security
• Programming skills, preferably Python; experience building cloud-native applications, APIs, and integrations
• Hands-on Infrastructure as Code and CI/CD experience using Terraform, AWS CDK, or CloudFormation
• Practical experience implementing AI/ML or Generative AI solutions on AWS, particularly with Amazon Bedrock and/or Amazon SageMaker AI
• Understanding of GenAI concepts and patterns including LLMs, embeddings, vector search, RAG, and AI agents
• Understanding of AWS security, scalability, reliability, observability, and cost optimization
• Ability to troubleshoot and collaborate effectively with architects, engineering teams, and client stakeholders
• English proficiency: B2 or higher

Benefits

• Permanent employment contract
• People Lead support and a defined professional development path (including possibility of coaching)
• Comprehensive training package (soft skills, technical and language training, e-learning access, Gallup test, GenAI training; co-financed courses/certifications)
• Employee Assistance Program (legal, financial, psychological consultations)
• Employee Share Purchase Plan with quarterly dividends eligibility
• Paid employee referral program
• Private medical care and life insurance
• Access to Worksmile benefits platform (including Multisport card)