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AWS Generative AI Engineer
Job in
Columbia, Richland County, South Carolina, 29240, USA
Listed on 2026-07-30
Listing for:
Capgemini
Full Time
position Listed on 2026-07-30
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AWS, Cloud Engineer - Software
Job Description & How to Apply Below
** Job Location
- Charlotte NC (Day One Onsite
- Hybrid)*
* ** About
The Role *
* + 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
** Key Responsibilities*
* + 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 Open Search
+ 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
** Required Skills Experience*
* ** AWS Cloud*
* + Strong experience with AWS Cloud Services
+ Hands on experience with Amazon Bedrock
+ AWS Lambda
+ API Gateway
+ Amazon S3
+ Amazon DynamoDB
+ Amazon Open Search
+ ECSEKS
+ Cloud Watch
+ IAM
** Generative AI LLMs*
* + Strong experience with Amazon Bedrock and Anthropic Claude models
+ Solid understanding of Large Language Models LLMs
+ Prompt Engineering
+ RAG Architecture
+ Vector Databases
+ AI Agents and Agentic Workflows
+ Fine tuning and Model Evaluation
+ Responsible AI and AI Governance
** Programming Frameworks*
* + Proficiency in Python
+
Experience with
Lang 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 Cloud Formation
+ Familiarity with other LLM providers such as Open AI Meta Llama Mistral or Cohere
** Life At Capgemini*
* Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
+ Flexible work
+ Healthcare including dental, vision, mental health, and well-being programs
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching and learning programs
+ Employee Resource…
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