Developer AI Fullstack AWS - L3

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.

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.