Acquia
About the Role
We are seeking an Enterprise AI Architect to join our AI Core Engineering team. The ideal candidate combines deep technical expertise in generative AI, agents, and agentic architectures with the ability to move fast, designing, building, and shipping production-grade agentic AI workflows across the Acquia DXP.
Responsibilities
Lead end-to-end delivery of AI agent implementations.
Write and ship production AI code daily — you are an active contributor.
Conduct architectural reviews and provide recommendations for optimizing AI agents’ performance, scalability, and security.
Lead the design and deployment of production-grade AI systems as an active contributor writing high-impact code. Expect to live in Python, LangGraph, Temporal, Pydantic and LangFuse to turn vision into reality.
Architect sophisticated, stateful, multi-agent workflows using LangGraph. You will build the frameworks that allow autonomous agents to operate with enterprise-level reliability and scale.
Champion AI observability by integrating LangFuse for deep tracing, prompt versioning, and rigorous evaluation. You’ll turn “black box” LLM interactions into transparent, benchmarked performance data.
Define the engineering blueprints for the entire organization. You will establish patterns for RAG architecture, advanced tool-calling, context window optimization, and prompt engineering.
As the internal scout for emerging tech, you will benchmark new LLM providers and orchestration frameworks, ensuring our stack remains at the cutting edge of the agentic revolution.