Senior AI Engineer
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OUR TEAM
This position sits within the Data Intelligence Platform team, a group focused on building next-generation AI-assisted data services as part of Teradata's core 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, GCP and on-prem.
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: Rust, Go, Python, Java— with a preference for Go 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, OpenMetadata, 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
- 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.
#LI-VM1
About Teradata
Enterprise cloud-based data analytics and artificial intelligence company.
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