Note: The job is a remote job and is open to candidates in USA. Teradata is a company that empowers organizations with better information through its Autonomous Knowledge Platform. The Staff Engineer - AI Platform role involves architecting and deploying advanced AI agents that integrate with business operations to drive decision-making and measurable outcomes.
Responsibilities
- Architect, design, and implement secure, scalable frameworks for autonomous AI agents
- Define and lead the technical roadmap for agent management—from discovery and provisioning to task orchestration and retirement
- Ensure AI agents are secure by design, with visibility, accountability, and guardrails baked in
- Collaborate with AI researchers, platform engineers, and product managers to bring cutting-edge agentic capabilities to production environments
- Build foundational infrastructure and tools to support multi-agent collaboration, memory/context management, and extensibility
- Drive adoption of AI agents across the enterprise by enabling easy integration and safe execution
- Serve as a thought leader on best practices for agent safety, observability, performance, and ethical deployment
Skills
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key
- A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge!
- 8+ years of experience in software architecture, backend systems, or AI infrastructure
- Deep knowledge of autonomous agent frameworks (e.g.,Open claw, Calude AP, LangChain, AutoGen, CrewAI) and AI orchestration models
- Experience with Agent Harness, Agent Skills, memory, planning loops, self-reflection, and execution chains
- Proven ability to build systems that solve for access control, identity management, and policy enforcement in the context of AI agents
- Proficiency with cloud-native platforms, distributed systems, and infrastructure design for scalability and security
- Experience building SDKs or APIs that expose agentic capabilities to developers or downstream applications
- Excellent collaboration and communication skills across technical and non-technical teams
- Proven ability to lead projects across large, distributed teams
- Passion for building safe, human-aligned autonomous systems
- Ownership mindset — you build, deploy, iterate, and scale with a long-term view
- Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable
- Experience with vector DBs, graph-based memory systems, or agentic frameworks
- Experience in software development (Python, Go, or Java is preferred)
- Familiarity with backend service development, APIs, and distributed systems
- Interest or experience in LLMs, autonomous agents, or AI tooling
- Familiar with CI/CD practices, testing, and observability
- You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions
- Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human
- Bonus: Experience with knowledge graphs, graph-based identity modeling, or AI-native security analytics
- Bonus: Familiarity with zero-trust architectures, AI governance frameworks, or secure multi-tenancy
- Bonus: Contributions to open-source agent frameworks or LLM orchestration tooling
- Bonus: Background in identity security, compliance-driven environments, or enterprise SaaS platforms
Benefits
- Flexible work model
- Work model because we trust our people to make decisions about how, when, and where they work
- Focus on well-being because we care about our people and their ability to thrive both personally and professionally
- Inclusive environment that celebrates people for all of who they are
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