Enterprise AI Platform Architect

🕒 April 28

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Acquia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

☁️ SaaS

🏢 Enterprise

🛍️ eCommerce

💰 Secondary Market on 2018-08

SaaS • Enterprise • eCommerce

Acquia is a company that provides the Acquia Digital Experience Platform (DXP), which is built on the industry-leading Drupal open-source CMS. The platform is designed to help organizations manage their digital presence more effectively, with a suite of tools that include content management, SEO optimization, customer data management, and more. Acquia offers solutions for various industries, such as healthcare, government, and retail, to enhance their digital customer journeys. The platform integrates with over 80 tools, facilitating collaborative content creation and optimized delivery. Acquia is recognized as a leader in digital experience platforms and is committed to accessibility and customer success.

📋 Description

• Lead end-to-end delivery of AI agent implementations • Conduct architectural reviews and provide recommendations for optimizing AI platform 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, 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.

🎯 Requirements

• 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/ML platform architecture and development, with deep recent experience (2+ years) in generative AI and agentic architectures in production applications. • Demonstrated track record of shipping AI applications to production environments, not just prototypes. • Hands-on LangGraph — stateful, cyclic, multi-agent workflows at enterprise scale. • Hands-on LangFuse - tracing, evaluation, prompt management, and dataset-driven testing • Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture). • Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management. • RAG architecture knowledge— vector databases, embedding models, and retrieval strategies.

🏖️ Benefits

• competitive healthcare coverage • wellness programs • take it when you need it time off • parental leave • recognition programs • and much more!