About the roleAs an AI Architect on Mod Op’s Innovation Team, you’ll help build the future of marketing by combining data, behavioral insights, and cutting‑edge AI technology to create intelligent tools and agents that elevate creativity, drive efficiency, and unlock growth for global brands.You’ll work alongside strategists, data scientists, creatives, and technologists to design and deploy bespoke AI solutions that scale across industries like CPG, entertainment, food & beverage, and B2B. Your curiosity about human behavior and your drive to experiment will power innovations that reshape how customers discover, engage with, and buy products and services.This is not a lab role. It is a build, test, learn, and ship role. You’ll help Mod Op and our clients evolve faster, smarter, and more humanly.What you’ll doDesign comprehensive AI system architectures, taking responsibility for selecting models (e.G., LLMs, traditional ML, or hybrid approaches), determining the use of RAG versus fine‑tuning or agentic workflows, and overseeing data pipelines, vector stores, orchestration, and observability.Proactively assess scale, latency, cost, and reliability tradeoffs, collaborating with IT to devise solutions and monitoring tools to prevent issues before they arise.Partner with product, strategy, and executive stakeholders to define the problems at hand, transform ambiguous goals into specific solutions and requirements, and establish and promote shared success metrics.Work alongside UX/UI and Solution Architects to create and implement evaluation criteria for AI outputs (such as quality, bias, drift, and hallucinations) throughout the design, prototyping, development, and production phases.Take ownership of and document data privacy, security, and compliance considerations, including establishing explicit guidelines on issues such as prompt injection, IP leakage, bias, brand risks, model limitations, failure modes,



and established human escalation paths.Evaluate cost‑to‑value tradeoffs, incorporating active optimization of token usage, caching strategies, and model routing, while also considering future growth plans.Provide strategic insights on roadmaps and intellectual property, identifying reusable patterns that can add value or evolve into platforms, internal tools, and future features based on existing IP.Stay at the frontier of AI innovation, exploring emerging models, frameworks, and integrations that enhance our marketing ecosystem.QualificationsAt least 8 years of experience in machine learning engineering, AI/LLM integration, or applied NLPDegree in Computer Science, Engineering, or related fieldDemonstrated success in developing and deploying AI/LLM‑based applications within production settingsExpertise in foundational models (GPT‑4o, Claude, Gemini, Mistral, etc.) and best practices for prompt engineeringPractical experience with vector databases (pgvector, Pinecone, Weaviate) and Retrieval‑Augmented Generation (RAG) pipelinesKnowledge of orchestration frameworks such as LangChain or LlamaIndexProficiency in Python programming, including experience with the OpenAI SDK, Hugging Face, or similar AI librariesExperience in developing or integrating AI agents, automation systems for creative tasks, or recommendation systemsExperience in creating custom GPTs/AgentsWeb, Backend & IntegrationsProficiency with backend technologies such as Node.Js, PHP, Java, or RubyWorking knowledge of third‑party integrations, APIs, and backend servicesExpertise in creating responsive,



accessible, and high‑quality websites and web applicationsComfortable running A/B tests, evaluation frameworks, and feedback loops for continuous AI improvementSoftware Delivery & Collaboration PracticesProficiency in Agile development methodologiesExperience with version control systems (e.G., Git)Collaboration in cross‑functional teams with designers, developers, and strategistsMarketing TechnologyExperience with marketing automation platforms such as ActiveCampaign, Pardot, or others—including landing pages, automated workflows, template creation, and integrating websites and databasesBenefitsFlexible, hybrid work arrangements.Annual company shutdown during the holiday season.Frequent studio‑wide social events.Budget and time allotted for professional development.Commitment to wellbeing and work life balance.Competitive health and dental benefits package.Group RRSP Matching programSalary Range100-120K CAD (subject to experience level)When asked what they love about working at Mod Op, we hear:“I feel I can be myself at work and it’s fun!” -MV“The caliber of the clients/brands we work with, knowing your work is seen by thousands of people, in many cases across the world.” -JC“We actually create videogames!” -AC“We have an all‑star team, and it’s like playing in the pro‑bowl every day!” -MW“Opportunities to always learn from and work with the best and the brightest.” HW“Mentors and opportunities for growth.” -KBDiversity and InclusionSome of our best ideas emerge when different perspectives collide. That’s just one of the reasons we’re committed to building and retaining a team that reflects diverse backgrounds, identities, experiences, and abilities. Through our core values, we’re also fostering a culture where everyone feels heard, included and comfortable being themselves.#J-18808-Ljbffr

📌 Senior Ai Architect - C$100,000 - C$120,000 A Year (Toronto)
🏢 Mod Op
📍 Toronto