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 with Amazon 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 of Large 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 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 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.