Senior AI Engineering Lead for Enterprise Solutions

pciservices; Philadelphia (Philadelphia County); On-site; USD 180,000 - 240,000; Full time

Job summary

PCI is seeking a senior AI engineering leader to drive architectural direction, oversight, and implementation for enterprise AI initiatives. You will partner with stakeholders to define approaches, establish standards, and guide the lifecycle from ideation to production, ensuring scalable, secure AI across internal and customer-facing use cases.

Responsibilities include leading generative AI patterns, RAG, agentic workflows, and AI-enabled automation, while coordinating integrations across

Responsibilities

• Serve as PCI's senior technical leader for AI engineering, providing architectural direction, technical oversight, and implementation guidance for enterprise AI initiatives.
• Partner with business and technology stakeholders to evaluate AI opportunities and determine appropriate technical approaches, architectures, and implementation strategies.
• Define and maintain AI engineering standards, reference architectures, design patterns, and best practices that support scalable, secure, and supportable solutions.
• Lead the architecture, design, implementation, and operationalization of AI solutions across customer-facing and internal business use cases.
• Establish solution patterns for generative AI, retrieval augmented generation (RAG), agentic workflows, intelligent assistants, and AI-enabled automation.
• Design and oversee AI integrations across enterprise platforms, business applications, digital products, and the Enterprise Data Platform.
• Drive technical decision-making throughout the AI solution lifecycle from ideation through production deployment and ongoing optimization.

Job description

PCI is seeking a senior AI engineering leader to drive architectural direction, oversight, and implementation for enterprise AI initiatives. You will partner with stakeholders to define approaches, establish standards, and guide the lifecycle from ideation to production, ensuring scalable, secure AI across internal and customer-facing use cases.

Responsibilities include leading generative AI patterns, RAG, agentic workflows, and AI-enabled automation, while coordinating integrations across