Gen AI Engineer

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

Job summary

Tata Consultancy Services is seeking a skilled Gen AI engineer in Plano, TX, to design and implement AI applications using AWS Bedrock and related services. The role focuses on building secure, scalable AI workflows for enterprise use cases and developing retrieval-augmented generation solutions that leverage enterprise knowledge sources.

You will manage context windows, memory strategies, prompt composition, and grounding techniques while integrating MCP-based tools and ensuring strong

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Experience designing GenAI solutions with AWS Bedrock.
• Strong knowledge of prompts, embeddings, and RAG.
• Hands-on Python or Java development.
• Ability to collaborate with cross-functional teams.

Responsibilities

• 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 leveraging enterprise knowledge sources.
• Manage context windows, memory strategies, prompt composition, and grounding techniques.
• Integrate MCP-based tools 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.

Skills

Python/Java

AWS Bedrock

Gen AI/LLMs

Prompt engineering

RAG/embeddings

Memory/context management

APIs/microservices

Security/governance

Stakeholder comms

LangChain orchestration

Education

Bachelor's degree in Computer Science

Tools

LangChain

LangGraph

OpenSearch

Aurora PostgreSQL

DynamoDB

Vector databases

IAM

API Gateway

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.

Job Description

Must Have Technical/Functional Skills

Roles & Responsibilities

• 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

Qualifications:

BACHELOR OF COMPUTER SCIENCE