- Jobs
- Citi
- Senior AI Security Engineer
Senior AI Security Engineer
Full-timeLead
HUF 23M - HUF 38M/yr
AI Tools
AnthropicChatGPTGoogle LLM APIsLangSmithLangfuseMCP
Agentic Frameworks
LangGraphCrewAIAutoGenClaude Agent SDK
Tech Stack
PythonVector DatabasesKubernetesOpenShiftAWSAzureGCPDockerCI/CD
Agent Workflow
Design autonomous AI agents for cybersecurity, architect multi-agent systems with collaboration/delegation/escalation patterns, build RAG pipelines and knowledge retrieval systems, implement agent infrastructure with tool use frameworks, memory management, planning/execution loops, and guardrails
About the Role
Technical leader and engineering manager within CISO's AI security incubation function at Citi, enabling teams to move from ideation to working proof-of-concept and through to production-ready use cases.
Key Responsibilities (by allocation):
- Agentic AI Engineering (40%): Design autonomous AI agents for cybersecurity tasks — threat analysis, control validation, triage, response orchestration. Architect multi-agent systems defining how AI agents collaborate, delegate, and escalate across security workflows. Implement agent infrastructure including tool use frameworks, memory and context management, planning/execution loops, guardrails. Build and maintain RAG pipelines, knowledge retrieval systems, and dynamic context assembly. Establish observability, monitoring, and evaluation frameworks for agentic systems. Design safety architectures with sandboxing, permission boundaries, output validation, and escalation triggers.
- Incubator Platform Architecture (25%): Own the Incubator Environment platform for CISO teams.
- People Leadership (20%): Lead, hire, and develop engineering team.
- Stakeholder Communication (15%): Drive innovation communication.
Requirements:
- 8-10+ years of software engineering experience with technical lead/manager background
- Python mastery in production-grade applications
- Practical experience with LLM APIs (OpenAI, Anthropic, Google), prompt engineering, model evaluation
- Track record deploying AI/ML systems at enterprise scale
- Experience designing autonomous AI agents including multi-agent orchestration, tool use frameworks, planning/execution loops
- Design and implementation of retrieval-augmented generation pipelines, vector databases, embedding models
- 3+ years leading engineering teams
- Cybersecurity familiarity
Preferred:
- Agent frameworks: LangGraph, CrewAI, AutoGen, Claude Agent SDK
- AI red teaming and adversarial attacks on LLMs and agentic systems
- MCP experience with MCP servers, tool registries, and resource providers
- Cloud-native architecture (Kubernetes, AWS, Azure, GCP)