Sr Staff Artificial Intelligence Engineer

Teradata Group; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Teradata Group is seeking a Senior AI Engineer to design, build, and scale AI-powered services within its enterprise AI platform. You will work on agentic AI, RAG pipelines, and vector search while collaborating with platform, product, and engineering teams to deliver end-to-end features.

The role requires 4+ years in backend services/distributed systems, with proficiency in Java, Go, or Python and strong cloud-native experience. Hybrid work and enterprise-scale AI tooling are expected.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent.
• 4+ years of backend services or data platform experience.
• Strong proficiency in Java, Go, or Python for service development.
• Solid understanding of distributed systems and cloud-native architectures.
• Experience with SQL and NoSQL data stores and data access patterns.

Responsibilities

• Design, develop, and maintain scalable AI services and apps for AI-driven platforms.
• Apply AI/ML tech including LLMs, agentic AI, and RAG pipelines.
• Build and secure robust RESTful APIs with attention to data consistency.
• Design components like vector stores, semantic search, AI agents, and orchestration workflows.
• Collaborate with cross-functional teams to deliver end-to-end features.
• Mentor engineers on planning, design reviews, and best practices.
• Diagnose and resolve performance and reliability issues in distributed systems.
• Write unit/integration tests and participate in code reviews.
• Stay updated on AI/ML trends and cloud-native architectures.

Skills

Java

Go

Python

LLMs

Embeddings

Vector databases

AI orchestration

Cloud platforms

Kubernetes

Docker

CI/CD

Observability

Distributed systems

SQL

NoSQL

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

Docker

CI/CD pipelines

Observability

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.

What you'll do:

As a Senior AI Engineer, you will be a key contributor to Teradata's AI platform and product initiatives. You will design, build, and scale high-quality AI-powered systems - ranging from agentic AI solutions and AI marketplaces to core platform capabilities such as RAG, vector search, and developer-facing AI tools. You will work in a technically deep, fast-paced environment, collaborating closely with platform, product, and engineering teams to shape Teradata's next-generation AI capabilities.

Key Responsibilities

• Design, develop, and maintain scalable, reliable, and high-performance services and applications for AI-driven platforms.
• Apply and experiment with AI/ML technologies, including large language models (LLMs), agentic AI, and retrieval-augmented generation (RAG) pipelines.
• Build and integrate robust RESTful APIs with a strong focus on security, data consistency, and maintainability.
• Design and implement components such as vector stores, semantic search, AI agents, orchestration workflows, and evaluation frameworks where applicable.
• Collaborate with cross-functional teams (AI/ML engineers, product managers, architects, and cloud engineers) to deliver end-to-end features aligned with product roadmaps.
• Mentor and guide engineers through technical planning, design reviews, implementation, and best practices.
• Identify, diagnose, and resolve system performance and reliability issues across distributed systems.
• Write unit and integration tests, participate in code reviews, and uphold engineering excellence.
• Stay current with emerging trends in AI/ML, cloud-native architectures, and enterprise-scale AI systems.

What makes you a qualified candidate

• Bachelor's degree in Computer Science, Engineering, or an equivalent field from a recognized institution.
• 4+ years of experience in backend services, distributed systems, or data platform development.
• Strong proficiency in Java, Go, or Python for service and platform development.
• Solid understanding of distributed system design principles, scalability, and cloud-native architectures.
• Hands-on experience working with SQL and NoSQL data stores and designing efficient data access patterns.

What you'll bring

• Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
• Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
• Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).
• Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

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