Staff AI Engineer

Teradata; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Flexible work model

Diversity, Equity & Inclusion

Job summary

Teradata Bengaluru is hiring a Staff AI Engineer to lead design and evolution of enterprise AI platforms. You will own architecture decisions, influence platform strategy, and guide large-scale AI initiatives spanning agentic AI, RAG, and vector stores.

You’ll collaborate with product and architecture leadership to raise the technical bar. You will mentor engineers, define guardrails for reliability and cost, and ensure production readiness across multiple teams in a fast-paced, global

Qualifications

• Bachelor's degree in CS, Engineering, or equivalent practical experience.
• 8+ years building backend services, distributed systems, or data/AI platforms.
• Proficiency in Java, Go, or Python for large-scale services.
• Strong understanding of distributed system design, cloud native architectures, scalability and fault tolerance.
• Experience designing and operating production systems with SQL and NoSQL data stores.

Responsibilities

• Lead design and evolution of large-scale, distributed AI systems powering Teradata’s AI platform.
• Own end-to-end architecture for agentic workflows, RAG pipelines, vector search, and AI orchestration.
• Drive technical strategy and ensure architectural consistency across teams.
• Build scalable, secure platform services and APIs for AI workloads.
• Mentor engineers and raise the technical bar through reviews and forums.

Skills

Backend services

Distributed systems

Java/Go/Python

Cloud native architectures

LLMs / AI platforms

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

Docker

CI/CD

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.

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 Staff AI Engineer, you will be a senior technical leader responsible for designing, evolving, and scaling Teradata’s enterprise AI platforms and capabilities. This role goes beyond feature delivery—you will own architecture level decisions, influence AI platform strategy, and lead complex initiatives spanning agentic AI, LLM platforms, retrieval augmented generation (RAG), vector stores, and developer facing AI systems. You will operate with a high degree of autonomy, partner closely with product and architecture leadership, and raise the technical bar across multiple teams.

Key Responsibilities

Technical Leadership & Architecture

• Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products.
• Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
• Drive technical strategy and architectural consistency across multiple engineering teams.

AI Systems & Platform Development

• Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures.
• Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle.
• Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems.

Cross Functional Influence

• Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions.
• Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking.
• Act as a technical escalation point for complex system design, performance, and reliability challenges.

Quality, Performance & Operational Excellence

• Drive best practices for testing, observability, evaluation, and production readiness of AI systems.
• Identify systemic performance bottlenecks and lead efforts to optimize distributed systems and AI pipelines.
• Establish engineering standards that improve development velocity, quality, and operational resilience.

Mentorship & Org Level Impact

• Mentor Senior and Staff level engineers, providing guidance on architecture, design reviews, and technical decision making.
• Raise the overall engineering bar through design forums, technical reviews, and knowledge sharing.
• Lead by example through hands on contributions to the most complex and business critical problems.

Who You’ll Work With

You will partner closely with product and architecture leadership, and raise the technical bar across multiple teams.

What Makes You a Qualified Candidate

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ yearsof experience building backend services, distributed systems, or data/AI platforms.
• Strong proficiency inJava, Go, or Python, with experience building largescale services.
• Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures.
• Proven experience designing and operating production systems withSQL and NoSQL data stores.

What You’ll Bring

• Experience withLLMs, 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.

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.