AWS Engineer (AI & Data)

Quick Facts

AWS Engineer (AI & Data)

Description

Design, build, and maintain cloud-native solutions on AWS while developing and integrating AI and Generative AI solutions. Contribute to enterprise AI platforms / AI Factories with reusable capabilities, implementing GenAI patterns such as RAG and AI agents and integrating them with enterprise data and applications. Automate AWS deployments using 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 with Solution Architects, engineering teams, and client stakeholders
• Develop and integrate AI and Generative AI solutions using Amazon Bedrock and Amazon SageMaker AI
• Build reusable enterprise AI platform / AI Factory capabilities to develop, deploy, and operate AI solutions at scale
• Implement GenAI patterns (RAG, AI agents, Knowledge Bases, guardrails, model integrations) connected to enterprise applications and data
• Automate cloud environments and deployments using Infrastructure as Code and CI/CD; apply AWS best practices for security, scalability, observability, and cost efficiency
• Turn technical designs and prototypes into production-grade solutions; troubleshoot complex issues and continuously improve
• Participate in POV/POC to explore new AWS/AI capabilities and contribute to reusable assets and engineering standards

Requirements

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

Benefits

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