AWS Generative AI Engineer
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 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
Required Skills Experience
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
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 Groups
Disaster Relief
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant
Salary Transparency
The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
ctively to drive business outcomes.
For this role, the gross annual base salary range is $80420 to $106050 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.
Ref. code: 525561
Posted on: Jul 27, 2026
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Columbia, SC, US
Brand: Capgemini
Professional Community: Data & AI
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.