Top AI Jobs in Toronto

Own Jerry.ai’s AI platform strategy, including prompt consolidation, chatbot prioritization, and emerging technology investments in voicebots, computer use, and consumer AI applications. Translate system architecture and API concepts into scalable products, coordinate engineering and cross-functional teams, manage the OpenAI relationship, and drive production-grade AI platform standards. The role also involves hands-on prompt engineering, technical experimentation, SQL-based analysis, and roadmap ownership.

Own the strategy and execution of Jerry.ai’s AI platform and customer-facing agentic AI products. Responsibilities include consolidating prompts onto a unified platform, prioritizing chatbot initiatives, coordinating engineering and cross-functional teams, evaluating voicebot and computer-use technologies, managing the OpenAI partnership, and shaping ChatGPT distribution. The role combines hands-on prompt engineering, technical architecture discussions, data analysis using SQL, and leadership of scalable production AI products.

Own the roadmap and end-to-end development of Jerry.ai’s Agentic AI platform and customer experiences. Partner with engineering and OpenAI to develop prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical AI concepts into organizational standards, improve answer quality and automation through experimentation, and balance latency, cost, and accuracy while scaling production-grade AI products.

Lead design and build the enterprise LCAP and AI platform: create reusable components, API connectors, prompt/agent patterns, cost/token controls, governance templates, and rapid MVP delivery pipelines to enable organization-wide low-code and AI-driven application development.

Lead the roadmap, development, and rollout of Jerry.ai’s AI platform and customer-facing agent experiences. Partner with engineering to establish prompt strategies, evaluation frameworks, guardrails, and platform standards. Improve answer quality, customer satisfaction, and automation through experimentation and data analysis. Collaborate with OpenAI on voice models and workflow automation while translating technical AI concepts across the organization.

Design, build, and deploy production-grade agentic multi-agent systems and stateful workflows. Implement memory and vector-based RAG pipelines, secure tool integrations, and cloud-deployed agents. Optimize LLM orchestration, enforce regulatory security and guardrails, collaborate with DevOps/RPA teams (UiPath), and maintain high code quality in Python/TypeScript.

Build and maintain golden datasets and automated evaluation pipelines to audit multi-agent LLM behavior. Trace trajectories, tune prompts and function-calling, optimize tool integrations (APIs, RPA), monitor production drift and hallucinations, and implement guardrails and RAG pipelines to ensure reliable autonomous workflows.

Design, build, and operate production AI agent systems using modern LLM APIs and agent SDKs. Own end-to-end architectures, integrations, observability, progressive delivery, and reliability. Mentor engineers, participate in technical design reviews, and collaborate with product peers to deliver scalable, stable legal AI agent tooling.

Own the roadmap and end-to-end development of Jerry.ai’s AI platform and customer experiences. Partner with engineering to establish prompt strategies, evaluation frameworks, guardrails, and platform standards. Drive experimentation to improve answer quality, customer satisfaction, and automation rates. Translate technical AI concepts for the broader organization and collaborate with OpenAI on voice models and workflow automation.

Lead the roadmap, development, and rollout of Jerry.ai’s AI platform and customer-facing agent experiences. Partner with engineering and OpenAI on prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical AI concepts into organizational standards while improving answer quality, customer satisfaction, latency, cost, and automation rates through experimentation and data analysis.

Own the strategy and execution of Jerry.ai’s AI platform, including prompt consolidation, chatbot prioritization, platform architecture, and emerging technologies such as voicebots and computer use. Manage the OpenAI relationship and Jerry’s ChatGPT presence while aligning engineering, data, and operations teams. The role requires hands-on AI experimentation, technical systems thinking, SQL analysis, and the ability to translate strategic ideas into scalable, production-grade products.

Own the roadmap and end-to-end development of Jerry.ai’s customer-facing Agentic AI platform. Partner with engineering and OpenAI to develop prompt strategies, evaluation frameworks, guardrails, voice models, and workflow automation. Translate technical AI concepts into organizational standards, optimize latency, cost, accuracy, answer quality, customer satisfaction, and automation rates, and scale production-grade AI products and experiences.

Lead the end-to-end development of Jerry.ai’s customer-facing Agentic AI platform. Own the roadmap, prompt strategies, evaluation frameworks, guardrails, platform standards, and rollout of LLM-powered experiences. Partner with engineering and OpenAI to deploy voice models and workflow automation, while improving answer quality, customer satisfaction, latency, cost, and automation rates through experimentation and data analysis.

Lead the strategy, development, and rollout of Jerry.ai’s AI platform and customer-facing agent experiences. Partner with engineering and OpenAI to design prompts, evaluation frameworks, guardrails, voice models, and workflow automation. Improve answer quality, customer satisfaction, and automation rates through experimentation and data analysis. Translate technical AI concepts into organizational standards while balancing latency, cost, accuracy, and scalability.

Own Jerry.ai’s AI platform strategy and technical product prioritization. Consolidate prompts across multiple systems, coordinate engineering and cross-functional execution, evaluate emerging technologies such as voicebots and computer use, manage the OpenAI relationship, and guide Jerry’s ChatGPT presence. The role combines hands-on prompt engineering, AI experimentation, API and architecture discussions, data analysis with SQL, and translating strategic ideas into scalable production products.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Own end-to-end physical implementation of AI accelerator and RISC-V IP blocks from synthesis through PnR, timing closure, and GDSII signoff. Drive PPA outcomes, collaborate with RTL owners, build floorplans, power grids, pin placement and clocking strategies, and deliver LEF/DEF, timing and power models, GDS, and signoff reports for tapeouts on advanced nodes.

Lead enterprise AI adoption by designing, building, deploying, and governing LLM-powered solutions (agents, copilots, RAG). Partner with IT and business teams for integrations, deliver training, and establish AI governance, monitoring, and risk management.

Design, build, and scale production-grade agentic workflows and AI applications. Develop AI agents using TypeScript, LangChain, LangGraph, and LLMs; build Java REST services; integrate APIs and distributed data platforms; and establish practices for prompt evaluation, reliability, guardrails, observability, and performance. Collaborate on architecture and ambiguous product requirements, optimize AI workload costs and reliability, mentor junior developers, and contribute to technical direction.

Design and evaluate high-difficulty consulting scenarios to train and test advanced AI systems. Create gold-standard solutions, build and assess business cases, review AI outputs for analytical rigor and executive quality, calibrate contributors' work, identify edge cases, and escalate complex rubric issues. Contractor role for a 9-week, full-time assignment.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.

Lead client relationships for major entertainment brands, translate creative vision into briefs and social campaigns, use AI-first tools and agentic workflows to plan, coordinate, review, and improve work. Protect quality, surface risks and opportunities, and encode reusable workflows. Drive account growth through strategic judgment, clear communication, and operational excellence.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal AI Solutions Consultant will develop AI-powered automations and MVP solutions, delivering production-ready work within 6-8 weeks, focusing on healthcare operations.