Staff AI Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- We're seeking a hands-on, deeply technical Staff Engineer to lead innovation in the Agentic AI space.
- You bring proven experience in the design, development, and deployment of intelligent agents that can reason, plan, and act autonomously-and critically, you've done so securely and responsibly at scale.
- This role sits at the intersection of deep systems engineering, modern AI architectures, and the real-world operational challenges of deploying agents in enterprise environments.
- At Teradata, you will be at the forefront of implementing agent management, governance, and compliance, solving some of the most complex problems in building safe and scalable Agentic AI systems.
- You'll work cross-functionally with product leaders, architects, and platform teams to define our next-generation agent platform.
- 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.
- 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., LangChain, AutoGen, CrewAI) and AI orchestration models.
- Experience with agent 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.
- Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
- Experience with vector DBs, graph-based memory systems, or agentic frameworks.
- Passion for building safe, human-aligned autonomous systems.
- 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.
- Ownership mindset - you build, deploy, iterate, and scale with a long-term view.
- 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.