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Job Description

What You’ll Do

 

In this role you will:

  • Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology.
  • Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.
  • Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.
  • Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform.
  • Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.

 

Who You’ll Work With

 

On our team, we:

  • Are part of Teradata’s global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.
  • Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.
  • Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
  • Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
  • This position reports into the AI engineering leadership team within Teradata’s global engineering organization.

 

What Makes You a Qualified Candidate

 

  • Proven experience designing, developing, and deploying autonomous AI agents at scale.
  • Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.
  • Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
  • Ability to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
  • Strong technical ability with intelligent automation, generative AI, and agentic system design.

 

What You’ll Bring

 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3–5+ years of experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.
  • Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.
  • Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.
  • Ability to design core agentic capabilities such as memory management, context handling, observability, and identity.
  • Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).
  • Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
  • Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams.
  • Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.

 

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  • Role Developer AI Fullstack AWS - L3
  • Experience 3-4 years
  • Education Bachelor Degree
  • Work type On-site
  • Location India
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Wipro
Enterprise Software · 500+ Members · Bengaluru, India

Wipro is an India-headquartered global technology services and consulting company.

Wipro helps organizations modernize applications, cloud infrastructure, cybersecurity, engineering, data, artificial intelligence, business processes, and digital operations.

All jobs at Wipro

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Education
Bachelor Degree
Experience
3-4 years

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