Experience:

• 4+ years of experience building robust software applications
• 2+ years designing and deploying systems on public cloud platforms such as AWS, Azure, or Google Cloud
• Strong analytical and problem-solving skills in complex, distributed environments

Qualification:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• Master’s degree in Computer Science, Engineering, Data Science, or a related field

Responsibilities:

• Build intelligent automation and conversational capabilities
• Develop and maintain MCP server integrations
• Collaborate with product owners, architects, and cross-functional teams to deliver new features
• Build infrastructure and tools for multi-agent collaboration, memory and context management, and extensibility
• Drive enterprise-wide adoption of AI agents through easy integration and safe execution
• Develop intelligent agents that can reason, plan, and act autonomously
• Build advanced agent-based architectures and runtime components
• Implement agent management, governance, and compliance in safe and scalable Agentic AI systems

Additional responsibilities:

• Use containerization technologies for scalable, resilient deployments
• Use AI-assisted development tools to enhance productivity and code quality
• Work in Teradata’s global engineering organization
• Help power VantageCloud, the unified data and AI platform
• Work at the intersection of cloud computing, advanced analytics, and AI-driven automation
• Help solve scalability, performance, and interoperability challenges
• Contribute to a positive team culture
• Build solutions that are secure, responsible, safe, and human-aligned

Nice to have:

• Familiarity with vector DBs
• Familiarity with graph-based memory systems
• Familiarity with agentic frameworks
• Familiarity with semantic/graph technologies
• Familiarity with dimensional modeling
• Familiarity with BI tools
• Familiarity with chain-of-graph
• Familiarity with graph RAG
• Interest or experience in LLMs
• Interest or experience in autonomous agents
• Interest or experience in AI tooling
• Knowledge of open-source tools and technologies

More skills:

MCP servers, LLM integration, runtime systems, NLP frameworks, context management, memory management, observability, identity, graph-based memory systems, agentic frameworks, semantic technologies, graph technologies, dimensional modeling, BI tools, chain-of-graph, graph RAG, containerization, Docker, Kubernetes, CI/CD pipelines, cloud-native deployments, GCP, backend service development, APIs, distributed systems, AI tooling, open-source tools, GitHub Copilot, MCP-integrated IDEs

Other:

• Teradata Autonomous Knowledge Platform unifies data, knowledge, and business context
• The platform supports on-premises, cloud, and hybrid approaches
• The team operates across hybrid and multi-cloud environments
• The role is part of a global engineering organization
• The position emphasizes scalability, performance, usability, interoperability, and enterprise-grade AI adoption
• The job includes the hashtag LI-NM1