Enterprise AI Architect

Posted July 19, 2026

About this opportunity

Opportunity Overview

Acquia is hiring an Enterprise AI Architect to join their AI Core Engineering team in designing, building, and shipping production-grade agentic AI workflows. The company uses AI to create, manage, and distribute experiences for both human and non-human audiences. The ideal candidate will have deep technical expertise in generative AI, agents, and agentic architectures, as well as the ability to move quickly and work with a variety of technologies, including Python, LangGraph, and Temporal. The role involves leading the end-to-end delivery of AI agent implementations, conducting architectural reviews, and designing and deploying production-grade AI systems. The company is looking for someone who can champion AI observability, define engineering blueprints, and stay up-to-date with emerging technologies. Acquia provides a range of benefits to its employees, including competitive healthcare coverage, wellness programs, and parental leave. The company's platform is built on a range of technologies, including LangGraph, Temporal, and Pydantic, and the ideal candidate will have hands-on experience with these technologies. Acquia is an equal opportunity employer and is committed to inclusivity and diversity.

Responsibilities

Lead end-to-end delivery of AI agent implementations
Write and ship production AI code daily
Conduct architectural reviews and provide recommendations for optimizing AI agents' performance, scalability, and security
Lead the design and deployment of production-grade AI systems
Architect sophisticated, stateful, multi-agent workflows using LangGraph
Champion AI observability by integrating LangFuse for deep tracing, prompt versioning, and rigorous evaluation
Define the engineering blueprints for the entire organization
Benchmark new LLM providers and orchestration frameworks

Benefits

Competitive healthcare coverage
Wellness programs
Take it when you need it time off
Parental leave
Recognition programs

Requirements & Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
7+ years of experience in cloud computing architecture, software engineering, or technical consulting
3+ years of experience in AI agents architecture and development, with deep recent experience in generative AI and agentic architectures in production applications
Demonstrated track record of shipping AI applications to production environments
Hands-on experience with LangGraph, Temporal, Pydantic, and LangFuse
Python proficiency and strong engineering fundamentals
Cloud AI deployment experience, including containerization and inference cost management
RAG architecture knowledge, including vector databases, embedding models, and retrieval strategies

How to Apply

Review the job description and requirements to ensure you are a good fit for the role.
Prepare your resume and any other relevant materials, such as a cover letter or portfolio.
Click the Apply button below to submit your application.

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