Senior AI Engineer

Teradata; Hyderabad; Hybrid; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Flexible work model

Focus on well-being

Diversity and inclusion commitment

Job summary

A leading cloud analytics company is seeking a Senior AI Engineer to design and implement vector store capabilities for AI-native analytics. This role demands strong backend engineering skills, with responsibilities including semantic search development and collaboration with cross-functional teams. The ideal candidate will have experience with vector databases, LLM-powered applications, and a background in AI/ML. Join a people-first culture committed to inclusivity and innovation.

Qualifications

• 3+ years of software engineering experience with a strong focus on backend systems.
• Hands-on experience with vector databases or vector search systems.
• Experience working with large-scale data and performance-sensitive systems.

Responsibilities

• Design and implement vector store capabilities integrated with Teradata’s analytics platform.
• Develop and optimize semantic search algorithms and ranking strategies.
• Collaborate with cross-functional teams to translate customer use cases into features.

Skills

Vector databases

Semantic search

Python

Backend development

LLM-powered applications

Distributed systems

Education

BS/MS/PhD in Computer Science, AI/ML, or related field

Tools

Vector databases

Cloud platforms (AWS, Azure, GCP)

Job description

Our Company
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Location

Hybrid – Hyderabad, Pune and Bangalore, India

What You’ll Do: Shape the Way the World Understands Data

Teradata is building the next generation of AI-native analytics, enabling customers to deploy production‑grade Generative AI systems directly where enterprise data lives. We are looking for a Senior AI Engineer to play a key role in designing and building Teradata’s vector store and retrieval infrastructure, powering RAG, multimodal AI, agentic workflows, and semantic search at enterprise scale.

This role is ideal for an engineer who thrives at the intersection of LLMs, information retrieval, and distributed systems, and wants to work on core platform capabilities rather than just application demos.

Responsibilities

• Design and implement vector store capabilities integrated with Teradata’s analytics platform, including indexing, storage, retrieval, and query optimization.
• Build end‑to‑end RAG pipelines, including:
• Data ingestion and chunking strategies
• Embedding generation and lifecycle management
• Retrieval (dense, sparse, and hybrid search)
• Context assembly and prompt orchestration
• Develop and optimize semantic search algorithms and ranking strategies for enterprise workloads.
• Enable multimodal RAG (text, structured data, images, etc.) and agent‑based workflows.
• Design agentic AI patterns, including tool calling, planning, memory, and orchestration.
• Implement guardrails for safety, reliability, and governance (hallucination mitigation, rounding, policy enforcement).
• Build and maintain RAG evaluation frameworks, including relevance, faithfulness, accuracy, and cost metrics.
• Collaborate with product, research, and platform teams to translate customer use cases into scalable features.
• Benchmark Teradata’s vector store and RAG capabilities against industry alternatives (e.g., cloud and open‑source solutions).
• Contribute to technical design reviews, architecture decisions, and long‑term AI platform strategy.

Who You’ll Work With

You’ll collaborate with a world‑class team of AI architects, ML engineers, and domain experts at Silicon Valley, working together to build the next generation of enterprise AI systems.

You’ll also work cross‑functionally with:

• Product managers and UX designers to craft agentic workflows that are intuitive and impactful.
• Domain specialists to ensure solutions align with real‑world business problems in regulated industries.
• Infrastructure and platform teams responsible for training, evaluation, and scaling AI workloads.

Minimum Requirements

• BS/MS/PhD in Computer Science, AI/ML, or a related field.
• 3+ years of software engineering experience with a strong focus on backend systems.
• Hands‑on experience with vector databases or vector search systems.
• Practical experience building LLM‑powered applications, especially RAG systems.
• Strong understanding of embeddings and similarity search, data chunking and context optimization, dense vs. sparse vs. hybrid retrieval, semantic search and relevance ranking.
• Proficiency in Python (and/or Java); experience with production‑grade systems.
• Experience working with large‑scale data and performance‑sensitive systems.

Preferred Qualifications

• Experience with multimodal embeddings and retrieval.
• Familiarity with agent frameworks (e.g., LangChain, LangGraph, or equivalent).
• Experience implementing AI guardrails and evaluation frameworks.
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Experience with distributed systems or analytics platforms.

Why We Think You’ll Love Teradata

We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well‑being because we care about our people and their ability to thrive both personally and professionally. We are an anti‑racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.