Developer

Capgemini; Bengaluru, Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Capgemini in Bengaluru seeks a senior GenAI architect to design and own end-to-end GenAI architectures using AWS services like Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway and Step Functions.

You will lead model selection, tuning, embeddings, RAG pipelines, and multi-agent workflows while defining reference architectures and reusable AI frameworks. Collaborate cross-functionally to deliver scalable cloud solutions.

Qualifications

• 8+ years in software development with strong AWS focus.
• Proficiency in Python programming.
• Experience with Python-based frameworks and packages.
• Strong understanding of serverless architecture and event-driven programming.
• Excellent problem-solving skills and ability to work independently.

Responsibilities

• Design and own end-to-end GenAI architectures using AWS services.
• Lead model selection, tuning, optimization including embeddings and RAG pipelines.
• Define reference architectures, solution blueprints and reusable AI frameworks.
• Evaluate GenAI capabilities and modernize workflows.
• Develop and maintain cloud-based GenAI solutions focused on scalability and performance.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Optimize AWS Lambda functions for cost and performance.

Skills

Python

AWS

GenAI architectures

Problem solving

Tools

AWS Lambda

SageMaker

Bedrock

Job description

Role & responsibilities

Design and own end-to-end GenAI architectures using AWS services (Python Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, Step Functions).

Lead model selection, tuning, optimization, including embedding models, RAG pipelines, multi-agent systems, and model-drift strategies.

Define reference architectures, solution blueprints, and reusable AI frameworks.

Evaluate new GenAI capabilities and drive modernization of existing workflows.

Generative AI Development

Build and integrate applications with LLMs, image/video models, embeddings, vector databases, and inference endpoints.

Develop RAG, multi-modal, agentic workflows and fine-tuning pipelines.

Create prompt engineering guidelines, evaluation frameworks, and model guardrails (PII filtering, hallucination prevention).

Design and implement serverless applications using AWS Lambda with phyton as programming language.

Develop and maintain cloud-based solutions with a focus on scalability and performance.

Collaborate with cross-functional teams to translate business requirements into technical solutions.

Optimize existing AWS Lambda functions for cost and performance efficiency.

Ensure robust security practices in all aspects of development and deployment.

Requirements:

8+ years of experience in software development, with a strong focus on AWS services.

Proficiency in programming languages Python.

Experience with Phyton related frame work and packages.

Strong understanding of serverless architecture and event-driven programming.

Excellent problem-solving skills and the ability to work independently.

Preferred Qualifications:

AWS certifications (e.g., AWS Certified Developer, AWS Certified Solutions Architect).

Experience with other AWS services like DynamoDB, API Gateway, and S3.

Knowledge of infrastructure as code (e.g., CloudFormation, Terraform).

Delivered at least one production-grade GenAI product or platform.

Experience with MLOps, DataOps, and model governance frameworks.