Teradata Jobs

AI Engineer
Teradata —Hyderabad, Telangana
- Full-time
- Azure
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- Java
2d
Staff AI Engineer, Agentic Systems
Teradata —India
- Full-time
- Remote
- Master's degree
- SQL
- AI
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Senior ServiceNow Developer
Teradata —India
- Full-time
- Remote
- Salesforce
- JavaScript
- Scripting
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Senior AI Engineer, Agentic Systems
Teradata —India
- Full-time
- Remote
- Master's degree
- Databases
- SQL
Quick apply
Go-To-Market Process Owner
Teradata —India
- Full-time
- Remote
- CRM software
- Sales
- Salesforce
Quick apply
11d
Senior Staff Full Stack Engineer– AI Platform
Teradata —India
- Full-time
- Remote
- Java
- Master's degree
- JavaScript
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Senior Cloud Engineer
Teradata —India
- Full-time
- Remote
- Azure
- Computer Science
- AWS
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Senior AI Tools support Specialist
Teradata —India
- Full-time
- Remote
- Azure
- Computer Science
- Windows
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AI Engineer

Teradata -
Hyderabad, Telangana

Apply Now

Job details

Full-time
2 days ago

Qualifications

Spring Boot
BCS
UI development
Azure
Go
Node.js
Law
Computer Science
CSS
NoSQL
Java
Master's degree
Databases
SQL
AWS
Bachelor's degree
Machine learning
Cloud development
JavaScript
Distributed systems
Back-end development
SASS
REST
Angular
Software development
APIs
UI
Teradata
AI
Python
Spring framework

Full job description

Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

Role Overview
As an AI Engineer, you will contribute to the design, development, and delivery of AI powered services and applications within Teradata’s AI platform ecosystem. You will work closely with senior engineers, AI/ML specialists, and product teams to build scalable, reliable systems leveraging modern AI technologies.
This role is ideal for engineers who are hands on, eager to learn, and excited to work on production grade AI systems in a cloud native environment.

Key Responsibilities

Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms.
Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features.
Write clean, testable code and participate in code reviews to maintain high engineering standards.
Assist in troubleshooting, debugging, and resolving production issues.
Learn and follow best practices for cloud native development, reliability, and observability.
Stay current with emerging trends in AI, machine learning, and software engineering.
Provide post-production support

Required Qualifications (Non Negotiable)

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
2+ years of experience in software engineering, User Interface, backend development, JavaScript, Angular
Proficiency in Python, Java, or Go.
Translating user experience design into code using Angular, Angular Material, NodeJS, strong fundamental knowledge of Object-oriented JavaScript, SASS, CSS3
Knowledge of advanced JavaScript and browser optimizations
Experience with Spring Framework or Spring Boot a plus
Basic understanding of distributed systems, APIs, and backend service design.
Experience working with relational (SQL) and/or NoSQL databases.
Familiarity with software development best practices: version control, testing, and code reviews.

Preferred / Nice to Have Skills

Exposure to AI/ML concepts, including machine learning pipelines or LLM based systems.
Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG).
Experience deploying services in cloud environments (AWS, Azure, or GCP).
Interest in agentic AI, automation, or developer productivity tooling.

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