Job Title: Developer AI Fullstack AWS - L3 City: Bengaluru State/Province: Karnataka Posting Start Date: 9/23/26
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.
Role Purpose
The purpose of this role is to develop and test software modules based on client requirements and prepare project documentation while coordinating with cross-functional teams to ensure quality delivery.
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Areas of responsibility
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Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.
Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.
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Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.
Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.
Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code.
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Stakeholder Collaboration-Collaborate with cross functional teams to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.
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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