The Senior AI Agent Architect is responsible for designing, building, and scaling intelligent agent-based systems that leverage large language models (LLMs), automation frameworks, and modern cloud infrastructure. This role bridges AI strategy and hands-on implementation, enabling the development of autonomous and semi-autonomous systems that drive business outcomes.
Key Responsibilities
- Design and architect AI agent systems (multi-agent, tool-using, workflow-driven)
- Define LLM integration patterns (RAG, function calling, memory, orchestration)
- Build scalable solutions on cloud platforms (AWS preferred)
- Evaluate and select frameworks (LangChain, OpenAI, Anthropic, etc.)
- Establish best practices for agent reliability, safety, and observability
- Partner with engineering, product, and business teams to translate use cases into solutions
- Lead technical direction and mentor engineers in AI/agent architecture
What you bring:
Required:
- Deep experience with LLMs and agent frameworks
- Strong cloud architecture (AWS, serverless, microservices)
- Python and modern backend development
- Understanding of RAG, embeddings, vector databases
- Experience with automation/orchestration systems
- Ability
Preferred:
Experience with multi-agent systems
Knowledge of AI safety, guardrails, and evaluation
Prior consulting or client-facing experience