AI Agent Architect

Agent Architect | AI Systems Architect

We are looking for An AI Systems Architect specializing in the design, development, and leadership of agent-based architectures for intelligent, autonomous, and distributed systems.

Experienced in building systems that combine decision-making, contextual reasoning, component coordination, and real-time responsiveness in complex and dynamic environments.

This role involves end-to-end technological leadership — from defining vision and architecture, through selecting technologies and models, to implementation, scaling, and deployment in mission-critical production environments.

Responsibilities:

• Design and define Agent-based architectures (Single-Agent, Multi-Agent, Hybrid)
• Develop coordination, communication, and orchestration mechanisms between agents
• Integrate agents with ML / CV / NLP / LLM models
• Design decision-making logic, planning, and task execution flows
• Define control, monitoring, and error-reduction processes (Observability, Guardrails)
• Lead integration between the AI layer and backend systems and infrastructure

Technical Expertise:

• LLM-based agents, tool use, and function calling
• Multi-Agent Systems and agent orchestration
• Event-driven and real-time architectures
• Integration of data from multiple sources (Sensors, APIs, Streams)
• Cloud and on-prem architectures, scalability, and resilience

Professional Skills:

• Systems and architectural thinking
• Balancing innovation, stability, and operability
• Translating business / operational needs into technological solutions
• Working with cross-functional teams: Engineering, Data, Algorithms, Product, and Operations

Added Value:

• Building reliable, controllable, and explainable agent-based systems
• Experience leading complex AI solutions from PoC to Production
• Deep understanding of control, safety, and scalability challenges in autonomous systems