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Senior Staff AI Engineer
Teradata —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
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Senior Staff AI Engineer

Teradata -
Pune, Maharashtra

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Go
Law
Computer Science
MCP
Kubernetes
Git
Java
Master's degree
Databases
AWS
Analysis skills
C++
Docker
C
Bachelor's degree
Continuous integration
Natural language processing
GitHub
Teradata
AI
Communication skills
Python

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

We are seeking a Senior Staff AI Engineer to lead the design and development of intelligent, scalable, and cloud-native AI systems. This role focuses on building advanced agent-based architectures and runtime components that power next-generation AI and LLM-driven solutions.

This role will require you to

Architect and implement high-performance, scalable features using Python and modern software engineering practices.
Design and develop LLM-powered agents and runtime orchestration systems for distributed environments.
Build intelligent automation and conversational capabilities using state of the art GenAI Agentic AI products.
Develop and maintain MCP server integrations, ensuring robust and efficient runtime execution.
Leverage containerization technologies (Docker, Kubernetes) for scalable, resilient deployments.
Utilize AI-assisted development tools (e.g., GitHub Copilot, MCP-integrated IDEs, Claude, GPT) to enhance productivity and code quality.
Collaborate cross-functionally to define, design, and deliver new features with a focus on performance, observability, and maintainability.
Support operational teams with troubleshooting, monitoring, and performance optimization.
Mentor junior engineers and contribute to a culture of innovation and continuous learning.

Who you'll work with

You will be part of Teradata’s global engineering organization, building the core technologies that power Teradata Cloud, our unified data and AI platform. The team works at the intersection of cloud computing, advanced analytics, and AI-driven automation, enabling enterprises to manage and analyse data seamlessly across hybrid and multi-cloud environments. Join us in shaping the future of data and intelligence—solving some of the most complex challenges in scalability, performance, and interoperability, and helping the world’s leading companies turn data into actionable insights and innovation

What makes you a qualified candidate

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years of software engineering experience specializing in Python, with working knowledge of additional languages including Java, Go, or C++.
Proven expertise in agent development, LLM integration, prompt engineering, and runtime systems.
Hands-on experience with MCP servers, vector databases, RAG architecture, and NLP frameworks.
Proficiency in containerization, CI/CD pipelines, and cloud-native deployments (AWS, Azure, or GCP).
Strong analytical and problem-solving skills in complex, distributed environments.
Excellent communication and documentation skills; ability to mentor and collaborate effectively.

What you’ll bring

You will be a preferred candidate if you have

Proactive, solution-oriented mindset with a passion for innovation.
Ability to work independently and drive initiatives from concept to delivery.
Adaptability in dynamic, fast-paced environments.
Experience with Teradata or other enterprise-grade databases is a plus.

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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