> Markdown version of [/jobs/ext/1821451-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1821451-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Funko - **Location:** Everett, WA, United States - **Experience:** Expert - **Salary:** $151,500.0 - $181,500.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Business Software, Business Systems, Software as a Service, Code Review, Information Systems, Continuous Integration, Data Security, Cursor (Graphical User Interface Elements), DevOps, Digital Technology, Python (Programming Language), Machine Learning, Open Source Technology, Azure Active Directory, Salesforce.Com, Search Technologies, Shopify, Software Deployment, Software Engineering, Systems Integration, Web Application Frameworks, Google Cloud, Enterprise Software Applications, Spring Cloud, GitHub Copilot, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Generative AI, Containerization, AI Platforms, Kubernetes, Information Technology, Microsoft Dynamics 365 Finance & Operations, Nintex, Restful APIs, GPT, Serverless Computing, Servicenow - **Published:** July 31, 2026 - **Apply:** https://jobs.jobvite.com/funko/job/oJIzAfwk/apply ## About the Role * 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 production environments. * Hands-on experience with Large Language Models (LLMs), AI agents, orchestration frameworks, prompt engineering, and agentic architectures. * Strong proficiency in Python and experience developing scalable APIs and cloud-native applications. * Experience integrating AI capabilities into enterprise applications, APIs, and business processes. * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, semantic search, enterprise knowledge retrieval, and modern AI application patterns. * Experience building intelligent automation and AI-driven workflow solutions. * Experience evaluating and optimizing AI systems for performance, reliability, safety, and production deployment. * Understanding of AI governance, security, privacy, scalability, and responsible AI best practices. * Experience leading technical initiatives, mentoring engineers, conducting code reviews, and working within Agile software development teams. * Strong communication, collaboration, analytical, and problem-solving skills with the ability to translate business challenges into practical AI solutions., * Experience with enterprise AI platforms or coding assistants such as ChatGPT Enterprise/Codex, Cursor, Claude Code, GitHub Copilot, Bugbot, or similar tools. * Experience designing governed data access models for AI, including semantic-layer, API, MCP, or tool-based control plane approaches. * Familiarity with Snowflake, DBT, Airflow, AWS, and enterprise identity and access patterns such as Entra/Azure AD role mapping and audit controls. * Experience implementing AI observability, evaluation frameworks, prompt testing, guardrails, and production monitoring. * Experience building multi-agent AI systems and agentic workflows. * Experience integrating multiple foundation models such as OpenAI, Anthropic Claude, Gemini, or open-source models into enterprise applications. * Experience with conversational analytics, business-data AI pilots, or other AI use cases where trusted data and bounded actions are critical to adoption. * Experience integrating AI with enterprise platforms such as Salesforce, Shopify, D365 ERP, Microsoft 365, ServiceNow, or similar SaaS ecosystems. * Experience with CI/CD pipelines, DevOps, infrastructure-as-code, containerization, and modern AI deployment practices. * Experience building AI solutions in retail, eCommerce, consumer products, manufacturing, or other enterprise business environments. ## Description 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 LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, 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., * Partner closely with Digital Technology and business stakeholders to identify and prioritize AI opportunities. * Lead hands-on software engineering while establishing reusable AI patterns, frameworks, and engineering standards. * Evaluate emerging AI technologies and recommend practical adoption strategies based on business value. * Mentor engineers and foster AI engineering best practices across the organization. * Balance innovation with security, governance, scalability, and operational excellence. How Success is Measured * Delivery of production-ready AI solutions that create measurable business value. * Increased employee productivity through AI-powered automation and intelligent workflows. * Successful adoption of enterprise AI capabilities across business and technology teams. * Establishment of reusable AI engineering standards, frameworks, and components. * Secure, scalable, reliable, and governed AI implementations. * Continuous improvement of AI capabilities through innovation, engineering excellence, and measurable business outcomes. Why This Role Matters AI represents a transformational opportunity for Funko to enhance employee productivity, improve business operations, accelerate software development, and create innovative customer experiences. The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into practical, scalable business capabilities by building production-ready AI applications, intelligent automation, and enterprise integrations that deliver measurable value across the organization. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)