At a Glance
- Tasks: Lead AI Enablement across client teams, coaching tech leads and ensuring best practices.
- Company: Join Electric Mind, where strategy meets action in a collaborative tech environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge AI technologies and diverse client challenges.
- Why this job: Make a real impact by driving AI adoption and transforming technology delivery.
- Qualifications: Senior technical leadership experience and strong understanding of AI Enablement methods.
The predicted salary is between 141170 - 172541 $ per year.
At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow. Electric Mind’s Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes.
About the Role
Act as the accountable Electric Mind (EM) technical leader across a number of client teams, for a large scale AI Enablement program. The Tech Lead owns the adoption approach to Electric Mind’s AI-enablement delivery method and coaches Client Tech Leads, QE Leads, and Architects as required so the AI adoption practices across the different client teams remain consistent. This role is distinct from a typical Tech Lead role: the Electric Mind Tech Lead owns the AI adoption across multiple client teams, whereas a typical tech lead owns the technical delivery. Our Technical Leads will work closely with the Program Engineering Lead to foster AI adoption and will escalate any issues or blockers to adoption that fall outside of their remit to the Engineering Lead.
What You’ll Do
- Act as the single point of Electric Mind technical accountability across its assigned pods — the owner of technical direction and decisions for how the AI-enabled delivery method is adopted technically.
- Own AI adoption for the technical aspects of the Software Delivery Lifecycle: this comprises, but may not be limited to, how AI-assisted engineering, code, and QE practices are introduced, sequenced, and embedded across the client teams.
- Coach Client Tech Leads, QE Leads, and Architects as required, building their capability to foster adoption of AI enablement best practices within their own teams.
- Reinforce a review-based culture and make sure the processes around solution design review, code review, QE plan and test review are strong and disciplined, focused on correctness against acceptance criteria rather than style.
- Own accountability for the integration of the QE approach into the AI enabled lifecycle.
- Own the approach to the build out of the technical artifacts that will be part of each solution’s AI knowledge-base.
- Ensure AI-generated technical outputs respect engineering constraints, architecture, coding standards, repository structure, test requirements, and enterprise stack limits across its assigned pods.
- Surface AI Enablement patterns across assigned teams—such as recurring technical risks, architecture gaps, and inconsistent engineering or QE practice—so that they can be resolved across the program rather than in isolation.
- Escalate to the Engineering Lead when factors outside of the role’s remit block or impede the smooth adoption of AI Enablement practices.
What You’ll Bring
- Senior technical leadership experience, capable of being the single point of technical accountability across multiple teams.
- Strong understanding of how to apply AI Enablement methods for technology delivery teams.
- Strong software engineering and architecture literacy.
- Familiarity with technical standards and industry best practices.
- Ability to own and drive a technical adoption approach for a new (AI enabled) engineering method.
- Working knowledge of AI-assisted engineering, agentic development harnesses, model behaviour, common AI failure modes and skills standards.
- Ability to coach senior technical roles — Tech Leads, QE Leads, and Architects — not just individual developers.
- Experience in disciplined code reviews and documentation review practices.
- Ability to distinguish a technical or architecture problem from a process, requirements, or delivery-management problem.
- Comfort using AI tools to complete job functions.
- Familiarity with SpecDriven development solutions a plus.
AI Enablement Technical Lead in Toronto employer: Electric Mind Inc.
At Electric Mind, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Java Backend Developer, you will benefit from continuous learning opportunities, collaborative teamwork, and the chance to work with cutting-edge technologies in a vibrant city known for its innovation. Join us to make a meaningful impact in the financial services sector while enjoying a supportive environment that values your contributions and growth.
