Sr. AI Engineer

Description

Funko Overview

Welcome to the Funko-verse, a world built on pure imagination, a land governed by the philosophy that stories matter, a universe comprised of characters from countless fandoms, a galaxy of once upon a times and happily ever afters.

But what does Funko do?

Funko is a purveyor of pop culture and licensed-focused collectibles company. Funko currently holds thousands of licenses and the rights to create tens of thousands of characters – one of the largest portfolios in the pop culture and collectibles industry. Funko’s Pop! Vinyl is the number one stylized vinyl collectible on the market, selling millions of figures to fans around the world.

As the Sr. AI Engineer, you will lead the design, development, and operationalization of AI-powered applications, intelligent automation, and agentic solutions across Funko s enterprise technology landscape. Working closely with Digital Technology, Product, Data, and Business teams, you will translate business opportunities into secure, scalable, and production-ready AI solutions that improve employee productivity, streamline business processes, and create innovative customer experiences.

This is a hands-on technical leadership role responsible for building enterprise AI capabilities while establishing engineering best practices, reusable components, and AI development standards that enable responsible AI adoption across the organization.

What You’ll Do

• Design, develop, and deploy enterprise AI solutions that solve complex business challenges and improve operational efficiency.
• Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering, and modern orchestration frameworks.
• Design and implement intelligent workflows, agentic architectures, and automation solutions that integrate with enterprise business systems.
• Develop production-grade AI applications using Python, APIs, cloud-native services, and modern AI development frameworks.
• Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources.
• Build and orchestrate AI agents using modern frameworks such as Lang Graph, Lang Chain, Semantic Kernel, CrewAI, Auto Gen, n8n, or similar technologies.
• Integrate AI capabilities into enterprise platforms including Salesforce, Shopify, D365 ERP, Snowflake, AWS, Microsoft 365, and other business applications.
• Leverage Model Context Protocol (MCP) and modern tool integration patterns to securely connect AI agents with enterprise systems and workflows.
• Develop AI-powered automation that streamlines software development, business processes, documentation, and operational workflows.
• Evaluate and optimize AI applications for quality, reliability, latency, cost, safety, and production readiness.
• Implement AI observability, monitoring, evaluation, and guardrails to ensure secure and reliable production AI systems.
• Design human-in-the-loop workflows that appropriately balance automation, governance, and business controls.
• Collaborate with Product Managers, Software Engineers, Data Engineers, Security teams, and business stakeholders to identify, prioritize, and deliver high-value AI use cases.
• Serve as the technical lead for enterprise AI initiatives by establishing engineering best practices, evaluating emerging AI technologies, and creating reusable AI patterns that accelerate adoption across the organization.
• Mentor engineers through technical leadership, code reviews, and collaborative problem solving while helping grow AI engineering capabilities across Digital Technology.
• Stay current on emerging AI technologies and recommend practical innovations that create measurable business value.

What You’ll Bring

• Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related field; advanced degree is a plus.
• 8+ years of professional software engineering experience, including at least 3+ years designing, building, and deploying production AI, machine learning, intelligent automation, or generative AI solutions in enterprise environments.
• Strong experience designing, building, and deploying AI-powered applications in…