---
title: 'AI Enablement Technical Lead at Electric Mind'
canonical: 'https://feeny.ai/job/ai-enablement-technical-lead-electric-mind-toronto-wptsk0gmn72n'
type: 'job'
last_seen: '2026-09-12'
---

# AI Enablement Technical Lead at Electric Mind

- **Company:** Electric Mind
- **Location:** Toronto, Canada
- **Employment:** contract
- **Work type:** hybrid
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/electricmind/d6866884-0773-40e3-b680-1217de53a0a0

## Job description

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 team, 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. As the technical accountability point, the Tech Lead must be able to:
- 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. As AI compresses authoring, review becomes the real bottleneck, and review discipline is frequently a pre-existing team weakness that must be addressed.
- Own accountability for the integration of the QE approach into the AI enabled lifecycle. E.g. where QE enters the delivery flow, how it QE activities connect to solution design and implementation, and how AI-authored tests are used as the mechanism for instilling trust in AI-generated functionality.
- Own the approach to the build out of the technical artifacts that will be part of  each solution’s  AI knowledge-base. Ensure that these artifacts support implementation readiness, portability, and reusability so the team’s technical work can be reused rather than remaining a one-off local solution.
- Ensure AI-generated technical outputs respect engineering constraints, architecture, coding standards, repository structure, test requirements, and enterprise stack limits across its assigned pods.
- Make sure the right technical role owner (developer, QE, or architect) is accountable for technical, QE, architecture, or tooling issues, and step in where technical ownership is unclear.
- 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.

## Key Deliverables

- Single point of Electric Mind  technical accountability for AI Enablement across assigned client teams.
- Own the Electric Mind   approach to AI-Enablement across technical disciplines (Dev, QE, Architecture, ...).
- Coaching of Client Tech Leads, QE Leads, and Architects.
- Instill a review-based culture and provide guidance on discipline and practices.
- Integration of QE discipline into the AI Enabled lifecycle.
- AI knowledge-base readiness, portability, and reusability.
- Reporting of patterns (good and bad) across its assigned teams and escalation to the Engineering Lead.

## 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.

## About Electric Mind

Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen. We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients.

We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible. If you’re looking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright!

For more info on Electric Mind, check out our Careers Page and Instagram.

Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.

## About Electric Mind

## Company Overview
- **One-liner**: Electric Mind is an engineering-first consulting firm that helps enterprises design and implement AI transformation, from strategy through production delivery.
- **Entity Type**: Private (Private Equity-backed)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 1990 (originally as Intelliware, rebranded to Electric Mind in 2024)
- **Founders**: Not publicly available (founded by a small team of software engineers)

## Core Business
- Primary industry/industries: Business Consulting and Services, Technology Consulting, AI Transformation
- Target customers: Financial services, healthcare, and technology enterprises; also serves start-ups and global organizations
- Mission or purpose statement: "Energized by diversity and delivered through connectivity, we transform challenges into practical, actionable results."

## Products & Services
- **Strategy Consulting**: Advisory practice that helps clients establish practical, implementable strategies "shift left" to guide strategy and design change programs.
- **Design Services**: Business, product, and solutions design to define experiences, products, and delivery systems aligned to business strategy and grounded in technology feasibility.
- **Engineering Delivery**: Custom software development and platform delivery, with deep expertise in agile methodologies (Scrum, Extreme Programming) and AI-era engineering.
- **AI Enablement**: AI transformation services including strategy, design, and production delivery for enterprise clients.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of $20M (estimated); Total Funding of $100M (Private Equity round led by Motive Partners, November 2025)
- **Notable Investors/Partners**: Motive Partners (lead investor in $100M PE round)
- **Growth Signals**: 33.8% headcount growth year-over-year; opened first U.S. office in Chicago in 2024; workforce distributed across 6 countries (Canada, United States, United Kingdom, Switzerland, India, Portugal)

## Competitive Advantages
- **Engineering-First DNA**: Founded in 1990 as a custom software development shop with decades of engineering delivery experience, especially in financial services and complex enterprise environments.
- **Agile Pioneers**: Early adopters of agile methodologies (Scrum, XP) since 2000, with deep expertise in iterative development and platform delivery.
- **Full-Stack Consulting**: Unique ability to span strategy, design, and engineering—allowing seamless transition from strategic vision to production implementation.
- **AI Era Positioning**: Explicitly built for the AI era, combining decades of engineering credibility with modern AI transformation capabilities.

## Strategic Focus
- **AI Transformation**: Helping enterprises design and implement AI-driven change, from strategy through production.
- **Geographic Expansion**: Growing presence in the U.S. following the 2024 Chicago office opening.
- **Advisory Growth**: Scaling advisory practice to "shift left" and engage earlier in client transformation programs.
- **Talent Acquisition**: Active hiring across technical and consulting roles, with strong recruiting from top financial and consulting firms (RBC, Scotiabank, Capco, Deloitte, TD).

## Why Work Here
- **Culture**: Rated 4.0/5.0 on employer review sites (47 reviews). Culture rated 4.4/5.0, Work-Life Balance rated 4.3/5.0.
- **Flexibility**: Hybrid work model with office in downtown Toronto. Flexible working hours offered to maintain work-life balance.
- **Learning**: Dedicated time and budget for self-driven and company-hosted training, R&D, and knowledge sharing (Centers of Excellence, hands-on labs, lunch-and-learns, research weeks, hackathons).
- **Benefits**: Comprehensive health and dental plans, mental health support, Employee & Family Assistance Program, parental leave top-up, short- and long-term disability, life insurance.
- **Environment**: Office designed for collaboration with snacks, comfortable seating, secure bike storage, lockers, and showers for active commuters.
- **DE&I**: Committed to diversity in the workplace; actively supports underrepresented groups within the Toronto tech community.
- **Team Dynamic**: Open, honest, cooperative environment with shared ownership and cohesive, cross-functional teams. Work with business, technical, and subject matter experts on varied projects across industries.
- **Current Openings** (as of search date): Technical Director, Azure & Dynamics 365 Developer, Senior Consultant, Controller, Advisory Consultant, Consultant.

## Sources
1. [electricmind.com](https://www.electricmind.com/about-us)
2. [electricmind.com](https://www.electricmind.com/life-as-a-mindster)
3. [jobs.lever.co](https://jobs.lever.co/electricmind)
4. [linkedin.com](https://linkedin.com/company/electricmind)
5. [builtin.com](https://builtin.com/company/electric-mind)

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