Gen Ai Engineer

Tata Consultancy Services; Plano (TX); On-site; USD 130,000 - 150,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Java

Gen AI

Prompt engineering

Cloud services

Tools

AWS Bedrock

LangChain

OpenSearch

DynamoDB

API Gateway

Lambda

Job description

• Design and implement Gen AI applications using AWS Bedrock and related AWS services.
• Build secure, scalable, and maintainable AI workflows for enterprise use cases.
• Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems.
• Collaborate with product owners, architects, data engineers, and security teams.
• Evaluate model outputs for quality, safety, relevance, and factual accuracy.
• Optimize latency, cost, and token usage across AI workloads.
• Create reusable prompts, agent patterns, and orchestration components.
• Support deployment, monitoring, logging, and continuous improvement of Gen AI systems.
• Strong experience with Python or Java.
• Hands-on experience with AWS Bedrock.
• Understanding of foundation models, embeddings, RAG, and vector search.
• Experience with prompt engineering and context management.
• Familiarity with MCP concepts and tool integration patterns.
• Experience with APIs, microservices, and cloud-native architecture.
• Knowledge of enterprise security, privacy, and governance requirements.
• Ability to evaluate model performance and improve response quality.
• Good communication and stakeholder collaboration skills.

Generic Managerial Skills, If any

• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Experience with OpenSearch, Aurora PostgreSQL, DynamoDB, or vector databases.
• Knowledge of IAM, KMS, CloudWatch, Lambda, Step Functions, and API Gateway.
• Experience with agentic workflows and tool-calling architectures.
• Familiarity with software engineering best practices, testing, and CI/CD.
• Automotive or manufacturing domain experience is a plus.

Salary Range: $130,000 to $150,000 per year