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Staff Cloud Architect - AI Platform
Teradata —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
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Staff Cloud Architect - AI Platform

Teradata -
Hyderabad, Telangana

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Go
Cloud architecture
Law
Computer Science
Kubernetes
Java
Master's degree
AWS
Bachelor's degree
Distributed systems
Terraform
Continuous integration
SDKs
Back-end development
Software development
APIs
Scalability
Teradata
Data science
AI
Communication skills
Graph databases
Python
Software architecture
Data Science
Analytics

Full 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

Architect & build Kubernetes Operators for large-scale AI/ML workloads
Develop high‑performance services in Golang
Define and build MLOps/LLMOps pipelines (model hosting, serving, monitoring)
Build agentic workflows using LangGraph, LangChain, or similar frameworks
Partner with product & architecture to define platform roadmap
Mentor senior engineers and drive engineering excellence

What Makes You A Qualified Candidate

10–15+ years engineering experience
Deep expertise with K8s Operators & Go
Strong background in ML infrastructure, distributed systems
Experience deploying LLM systems to production
Skills: Kubernetes Operators, Golang, Python, Java, , MLOps, LLMOps, Agentic AI, Terraform, CI/CD, AWS, AZURE. GCP

What You'll Bring

A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key.
A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!
8+ years of experience in software architecture, backend systems, or AI infrastructure.
Deep knowledge of autonomous agent frameworks (e.g., LangChain, AutoGen, CrewAI) and AI orchestration models.
Experience with agent memory, planning loops, self-reflection, and execution chains.
Proven ability to build systems that solve for access control, identity management, and policy enforcement in the context of AI agents.
Proficiency with cloud-native platforms, distributed systems, and infrastructure design for scalability and security.
Experience building SDKs or APIs that expose agentic capabilities to developers or downstream applications.
Excellent collaboration and communication skills across technical and non-technical teams.
Proven ability to lead projects across large, distributed teams.
Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
Experience with vector DBs, graph-based memory systems, or agentic frameworks.
Passion for building safe, human-aligned autonomous systems.
Experience in software development (Python, Go, or Java is preferred).
Familiarity with backend service development, APIs, and distributed systems.
Interest or experience in LLMs, autonomous agents, or AI tooling.
Familiar with CI/CD practices, testing, and observability.
You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human.
Ownership mindset — you build, deploy, iterate, and scale with a long-term view.
Bonus: Experience with knowledge graphs, graph-based identity modeling, or AI-native security analytics.
Bonus: Familiarity with zero-trust architectures, AI governance frameworks, or secure multi-tenancy.
Bonus: Contributions to open-source agent frameworks or LLM orchestration tooling.
Bonus: Background in identity security, compliance-driven environments, or enterprise SaaS platforms.

#LI-VB1

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 committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

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Staff Cloud Architect - AI Platform

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