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 TEAM This position sits within the Data Intelligence Platform team, a group focused on building next-generation AI-assisted data services on top of Autonomous Knowledge Platform. Our team operates at the intersection of cloud infrastructure, data engineering, and applied AI — shipping highly available, multi-tenant services that power intelligent query routing and data discovery at scale.

Our platform responsibilities include: Designing and operating highly available microservices for data catalog ingestion and serving

Building AI-assisted query generation and routing services across heterogeneous data sources

Deployment and lifecycle management of services on Kubernetes (K8s) across AWS, Azure, and GCP

Data pipeline development for catalog extraction, normalization, and semantic enrichment

Centralized observability: monitoring, alerting, and distributed tracing for all platform services

Providing DevOps tooling and CICD pipelines to support continuous delivery THE OPPORTUNITY We are building a new service to collect and normalize data catalogs from diverse data sources — including relational databases, data lakes, data warehouses, and streaming systems — and expose them to an AI agent that dynamically constructs and routes queries to the appropriate source. This is a greenfield initiative that requires strong engineering judgment, a systems-thinking mindset, and experience shipping production-grade services. You will be a core contributor on this project, working from architecture to implementation — designing ingestion pipelines, building the catalog API layer, and collaborating with the AI/ML team to surface the right metadata signals for intelligent query generation.

Responsibilities Design, build, and operate a highly available data catalog collection service that ingests schema and metadata from heterogeneous data sources (RDBMS, data lakes, streaming platforms,



APIs)

Develop robust data pipelines for catalog extraction, normalization, lineage tracking, and semantic tagging to power AI-driven query routing

Build and maintain RESTful and/or gRPC APIs that expose catalog data to an AI query agent

Deploy and manage services on Kubernetes (K8s), including helm chart authoring, autoscaling configuration, and multi-cluster operations

Ensure service reliability through SLO definition, circuit breakers, retry logic, and distributed tracing

Integrate with open-source and cloud-native technologies including Apache Kafka, Spark, dbt, Apache Atlas, or OpenMetadata

Collaborate with AI/ML engineers to design and iterate on the metadata schema and query routing interface

Participate in on-call rotations and contribute to incident response, postmortems, and reliability improvements

Contribute to CICD pipelines, infrastructure-as-code (Terraform / Helm), and automated testing frameworks Qualifications Required 3+ years of software engineering experience building and operating production services

Proficiency in one or more of: Go, Rust, Java or Python-- with a preference for Rust or Python for backend services

Hands-on experience with data pipeline development: ingestion, transformation, and metadata management at scale

Solid understanding of RESTful API design principles and service-to-service communication patterns

Experience deploying and operating services on Kubernetes (K8s) in production cloud environments

Familiarity with at least one major public cloud platform: AWS, Azure, or GCP

Strong knowledge of relational and non-relational database systems and their schema/catalog semantics

Experience with distributed messaging systems such as Apache Kafka or AWS Kinesis

Proficiency with Git, code review workflows, and agile development practices

Excellent troubleshooting skills and comfort operating in Linux environments Preferred Experience with data catalog or metadata management tools such as Apache Atlas,



Open Metadata, DataHub, or Collibra

Familiarity with semantic search, vector databases, or LLM-based query generation systems

Experience designing or integrating AI/ML model APIs into production backend services

Knowledge of data governance, lineage tracking, and schema registry patterns

Experience with infrastructure-as-code tools: Terraform, Pulumi, or AWS CDK

Background in multi-tenant SaaS platform engineering

Contributions to open-source data or infrastructure projects WHY TERADATA Work on a greenfield AI-powered data intelligence product with direct business impact

Collaborate with world-class engineers across cloud infrastructure, AI/ML, and data platform teams

Competitive compensation including equity, comprehensive benefits, and flexible working arrangements

Commitment to engineering excellence: investment in tooling, learning, and technical growth

Inclusive and diverse culture with a strong sense of shared mission Teradata is an Equal Opportunity / Affirmative Action Employer and commits to hiring returning veterans.

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 prospect 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.

📌 AI Engineer (Bengaluru)
🏢 Teradata
📍 Bengaluru