Enterprise AI Platform Architect

???? Description

• Lead end-to-end delivery of AI agent implementations
• Architectural reviews to optimize AI platform performance, scalability, and security
• Design and deploy production-grade AI systems; code in Python, LangGraph, LangFuse
• Architect stateful, multi-agent workflows with LangGraph at scale
• Champion AI observability by integrating LangFuse for tracing and evaluation
• Define blueprints for RAG architecture, tool-calling, context windows, and prompts

???? Requirements

• Bachelor's or Master's degree in Computer Science, AI, or related field
• 7+ years in cloud computing architecture, software engineering, or technical consulting
• 3+ years AI/ML platform architecture with generative AI and agentic production work
• Track record shipping AI applications to production environments
• Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture)
• Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management

???? Benefits

• Core benefits include healthcare coverage, wellness programs, take-it-when-you-need-it time off, parental leave, recognition programs
• More benefits information on Acquia Careers Benefits page

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.