> Markdown version of [/jobs/ext/1504982-aws-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1504982-aws-generative-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Generative AI Engineer - **Company:** Capgemini - **Location:** Columbia, SC, United States - **Experience:** Experienced - **Salary:** $80,420.0 - $106,050.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Cloud Computing Security, Cloud Engineering, Computer Programming, Computer Engineering, Continuous Integration, Data Integration, Digital Architecture, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Machine Learning, Language Modeling, Cloud Services, Search Technologies, Enterprise Software Applications, Chatbots, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AWS Lambda, Cloudformation, Fastapi, Containerization, Infrastructure Automation Frameworks, Machine Learning Operations, Cloudwatch, Api Gateway, Restful APIs, Terraform, Artificial Intelligence Markup Language (AIML) - **Published:** July 30, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3336345803&tx=FL737FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role AWS Cloud * Strong experience with AWS Cloud Services * Hands on experience withAmazon Bedrock * AWS Lambda * API Gateway * Amazon S3 * Amazon DynamoDB * Amazon OpenSearch * ECSEKS * CloudWatch * IAM Generative AI LLMs * Strong experience with Amazon Bedrock and Anthropic Claude models * Solid understanding ofLarge Language Models LLMs * Prompt Engineering * RAG Architecture * Vector Databases * AI Agents and Agentic Workflows * Finetuning and Model Evaluation * Responsible AI and AI Governance Programming Frameworks * Proficiency in Python * Experience withLang Chain * Lang Graph * Llama Index * Fast API * REST APIs * SDK integrations Data Integration * Experience integrating structured and unstructured data sources * Knowledge of embeddings semantic search knowledge bases and document ingestion pipelines Required Experience * 5-10 years of overall software cloud development experience * 2-4 years of hands on experience in Generative AI and LLM based solution development * Proven experience delivering enterprise scale AI solutions on AWS Key Competencies * Solution Design Architecture * Generative AI LLM Expertise * Cloud Native Development * Problem Solving Analytical Thinking * Stakeholder Management * Innovation Mindset * Agile Delivery * Communication and Collaboration Skills Preferred Qualifications * Bachelors or Masters degree in Computer Science Engineering Data Science or a related field * AWS certifications such as,AWS Certified * AWS Certified Machine Learning Engineer * AWS AI Practitioner * Experience with MLOps CICD and infrastructure as code tools Terraform CloudFormation * Familiarity with other LLM providers such as Open AI Meta Llama Mistral or Cohere ## Description * We are seeking a highly skilled AWS Generative AI Engineer with strong experience in designing developing and deploying Generative AI solutions on AWS The ideal candidate should possess hands on expertise with Amazon Bedrock Anthropic Claude models Large Language Models LLMs prompt engineering retrieval augmented generation RAG and scalable cloud native architectures. * The role involves collaborating with business and technology teams to build AI powered applications that drive innovation and business value, * Design develop and deploy Generative AI solutions leveraging Amazon Bedrock Anthropic Claude and other foundation models * Build and optimize RAG Retrieval Augmented Generation architectures using vector databases and enterprise knowledge sources * Develop AI powered applications such as chatbots virtual assistants document processing content generation and intelligent search solutions * Create and optimize prompts workflows and model configurations to improve response quality accuracy and performance * Integrate Bedrock foundation models with enterprise applications APIs and AWS services * Implement scalable and secure cloud native solutions using AWS services such as Lambda API Gateway ECS EKS S3 DynamoDB and OpenSearch * Finetune model outputs through prompt engineering guardrails and evaluation frameworks * Collaborate with data engineers architects product owners and business stakeholders to identify GenAI use cases and deliver solutions * Monitor model performance costs latency and security compliance * Ensure adherence to responsible AI practices governance and security standards * Stay updated with emerging trends in Generative AI LLMs and AWS AIML services ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)