Gen AI Engineer – AWS Bedrock & RAG Specialist

Tata Consultancy Services Limited; Plano (TX); Presencial; USD 130.000 - 150.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services Limited in Plano, TX seeks a Gen AI engineer to design and implement AI workloads using AWS Bedrock for enterprise use. You will optimize prompts, manage context, and build retrieval-augmented generation solutions with secure, scalable architectures.

You should have strong Python or Java, hands-on AWS Bedrock experience, and a solid understanding of foundation models, embeddings, RAG, and vector search.

Formación

• Experience designing Gen AI apps on AWS Bedrock.
• Strong Python or Java programming skills.
• Understanding of foundation models, embeddings, RAG, and vector search.
• Knowledge of enterprise security, privacy, and governance.
• Ability to evaluate model outputs for quality and grounding.

Responsabilidades

• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions with enterprise knowledge sources.
• Manage context windows, memory strategies, and grounding techniques.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts and orchestration components.
• Support deployment, monitoring, and continuous improvement of Gen AI systems.

Conocimientos

Python

Java

Gen AI

Prompt engineering

Cloud services

Herramientas

AWS Bedrock

LangChain

OpenSearch

DynamoDB

API Gateway

Lambda

Descripción del empleo

Tata Consultancy Services Limited in Plano, TX seeks a Gen AI engineer to design and implement AI workloads using AWS Bedrock for enterprise use. You will optimize prompts, manage context, and build retrieval-augmented generation solutions with secure, scalable architectures.

You should have strong Python or Java, hands-on AWS Bedrock experience, and a solid understanding of foundation models, embeddings, RAG, and vector search.