AI Automation Lead

Toronto, Ontario, Canada
Remote
Posted Oct 2, 2026
1 position

$100,000–$130,000 / year

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 36 hours per week
Location requirements: Country, Greater Toronto Area, Canada
Seniority: Mid-Senior level
Application method: Apply on the employer’s site

Job summary

Identify opportunities to apply AI across engineering and business processes, then prototype, deploy, and maintain practical AI tools and workflows. Collaborate with engineering and software teams to integrate AI into existing systems, establish evaluation and deployment practices, and guide responsible AI adoption.

Job details

DSEL is looking for a dynamic and driven professional to lead the deployment of artificial intelligence across our organization. As our AI Automation Lead, you will work at the intersection of engineering, software development, and emerging AI technology. You will identify practical opportunities for AI, rapidly develop and deploy solutions, and help DSEL transform how engineering work is performed. The AI Automation Lead will serve as a key link between DSEL’s engineering teams and technology development, translating real-world business and engineering needs into practical AI applications. This position offers a unique opportunity to take ownership of DSEL’s AI strategy while building and deploying tools that have a direct impact on our day-to-day operations. Position: AI Automation Lead Employment Type: Permanent, Full-Time (36 hours per week), Remote Reporting to: Head of Automation Responsibilities: AI IMPLEMENTATION AND DEPLOYMENT 1. Identify and prioritize opportunities where AI can improve DSEL’s engineering, design, cost sharing, software development, and business processes 2. Rapidly prototype, test, and deploy AI-powered tools that solve practical problems for DSEL employees 3. Evaluate and implement new and emerging AI technologies, including large language models, AI assistants, agents, and AI-enabled software development tools 4. Develop internal AI assistants that can leverage DSEL’s engineering knowledge, standards, procedures, reports, and historical project information 5. Integrate AI tools with DSEL’s existing software, databases, documents, and engineering workflows 6. Move successful AI concepts from prototype to reliable production tools that can be adopted across the organization AI AUTOMATION AND ENGINEERING APPLICATIONS 1. Work directly with DSEL’s engineering teams to identify repetitive, time-consuming, or knowledge-intensive tasks that are suitable for AI automation 2. Develop AI workflows for applications such as engineering report writing, document analysis, knowledge retrieval, design support, quality assurance, and project information management 3. Explore and develop agentic workflows where AI can reason through a process, access information, use software tools, and produce useful engineering outputs 4. Collaborate with the existing software development and automation teams to incorporate AI into DSEL’s proprietary tools and applications 5. Establish practical methods for testing, evaluating, monitoring, and improving AI-generated outputs PROCESS AUTOMATION AND TECHNOLOGY 1. Learn, test, and apply new and emerging AI and automation technologies 2. Assist in establishing DSEL’s AI technology standards, development practices, and deployment processes 3. Provide guidance to developers and engineering staff on effective and responsible use of AI 4. Continuously evaluate new AI models, platforms, and tools to determine where they can provide value to DSEL 5. Contribute to the evolution and standardization of DSEL’s technology-enabled design and business processes Qualifications: • Undergraduate degree in computer science, engineering, software engineering, or a related field • Hands-on experience developing or deploying applications using generative AI and large language models • Strong programming skills in Python, C#, or a similar language • Solid understanding of APIs, databases, software integration, and modern cloud or application development • Experience with AI concepts such as LLM APIs, retrieval-augmented generation (RAG), AI agents, tool calling, or vector databases is an asset • Strong problem-solving abilities and a demonstrated ability to quickly learn and apply new technologies • Able to translate business and engineering problems into practical technology solutions • Able to articulate technical concepts effectively to both technical and non-technical audiences, in writing and verbally • Highly driven, organized, entrepreneurial, and comfortable working independently while collaborating with a multidisciplinary team What you can expect from DSEL: • a supportive place to work • competitive salary based on experience • a flexible 36-hour work week • dental/medical benefits plan • wellness spending account • remote work flexibility • opportunities to grow based on merit not years of service • annual career review

What you’ll do

Requirements

An undergraduate degree in computer science, engineering, software engineering, or a related field and hands-on experience developing or deploying generative AI and LLM applications are required. Candidates should have strong programming skills, knowledge of APIs, databases, software integration, and cloud or application development, along with the ability to translate business needs into solutions and communicate effectively.