--- title: 'AI Enablement Senior Engineer at Electric Mind' canonical: 'https://feeny.ai/job/ai-enablement-senior-engineer-electric-mind-toronto-gdbsfn1n5xpe' type: 'job' last_seen: '2026-09-12' --- # AI Enablement Senior Engineer 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/e13cb159-33b1-4d08-8511-48ff42f71f4d ## 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 Support the AI Enablement Technical Lead in the delivery and coaching of the AI adoption  across multiple client teams. The Senior Engineer mentors  technical client team members (Developers, Quality Engineers, ...)  on the optimal use of tools and techniques involving AI that can be used to enable the software delivery lifecycle, this will include but not be limited  the use of skills, agents, and prompt engineering techniques to improve AI interactions, the u application of those techniques to support the generation of code, tests, review PRs and other technical activities conducted as part of the AI enabled delivery lifecycle . AI Enablement Senior Enginner will be reporting into the AI Enablement Technical Lead and escalate any issues or findings, outside of their remit, that impede or could impede AI adoption, to the AI Enablement Technical Lead. ## What You’ll Do - Act as the  contact person for  coaching and questions  related to AI adoption and AI enablement in the software delivery lifecycle, from technical client team members which the team cannot resolve themselves through the training they will have been provided.. This responsibility will cover multiple client teams. The Senior Engineer must be able to: - Mentor technical client team member on how to validate plans and code generated by AI, against intended story outcomes . - Coach client team members on focusing on delivery rather than detouring into AI skills changes mid-flight capturing friction for later skill change iterations. - Support client team members in instilling a strong review ethic across code, tests, PRs and other AI generated artifacts requiring HITL (Human In The Loop) reviews. Guide the teams in focusing reviews on content and alignment with acceptance criteria rather than style. - Help diagnose experiences and environment friction in real usage (skill discovery, workspace confusion, command generation, dependencies, tests, branch and PR flow, IDE/tool timeouts, request limits, CLI setup). Treat environment friction as separate from AI-method friction — surface anything being worked around rather than fixed, and either help fix it or escalate it so it is not silently absorbed as “AI doesn’t work.” - Support the  integration of tooling (scripting, MCP, ...) by client teams  needed by client teams to facilitate the automation of activities between AI and existing enterprise solutions (e.g. Jira & Confluence integrations). - Support the creation of the AI knowledge base creation and related AI supported reverse-engineering activities as required by various client teams. - Support the setup of the AI enabled project environment (repositories, skills, agents, configuration files, etc) as needed by each client solution’s or client team’s specific requirements and context. - Coach client team technical staff (Developers, Quality Engineers, ...) how to  validate that AI-generated output respects each team’s engineering constraints, coding guidelines, test requirements, enterprise standards, etc. - Work with the indicated team members to capture and improve AI skills and agentic capabilities, reinforcing that skills encode team knowledge . - Escalate to the AI Enablement Technical Lead when technical decisions, tooling blockers, access, or capacity issues fall outside the role’s remit, and surface recurring friction across your assigned client teams rather than solving these  in isolation. ## Key Deliverables - Guidance and mentoring for  technical client team members (Developers and Quality Engineers mainly) - Support  deep-dive sessions and story walkthroughs across its assigned client teams whereas these relate to the ability for team to further AI enablement. - Creation and supporting the creation of guidance for technical personal such as walkthrough notes, step by step job aides etc.. - Coaching in AI enabling techniques and practices as per the program’s standards and approach. - Logging and sharing/escalating experience and environment/tooling-friction findings. - Support for  AI Knowledge-base creation and reverse-engineering through in person assistance or the delviery of guidance artifacts (documentation, job aides, ...). - Capture of AI skill improvement requirements across client teams, and collaboration with program team to elicit these improvements. - Scripting or support of scripting for enterprise tool integration (e.g. Jira, Confluence, ...). - Developer-friction pattern reporting across its assigned client teams. ## What You’ll Bring - Strong software delivery experience across various technology stacks using industry best practices (versioning, PR reviews, solution design, code, ...). - Understanding of how to apply AI capabilities such as Spec Driven development to support AI enablement of the Software Delivery Lifecycle. - Ability to run practical, hands-on enablement sessions with technical personnel , and support client team members in running the same. - Familiarity with AI-assisted coding tools, agentic IDE workflows, skills , model behaviour, and common AI failure modes. - Ability to diagnose friction across setup, workspace structure, command execution, dependencies, tests, and source-control flows, and to distinguish environment friction from AI friction. - Working knowledge of AI-assisted Quality Engineering methods(e.g. test generation, execution, defect review) . - Good communication skills and the ability to coach technical personnel who may be skeptical of AI-generated output or attached to existing coding habits. - Enough architectural and code literacy to distinguish a AI skill/prompting problem from a specification quality, context, setup, or codebase problem. - Familiarity with SpecDriven development solutions a plus. - Ability to Help pods test and validate the story-development / quick-dev skill chain against realistic stories, including UI framework, API, and other story flavours as they become available. - Working knowledge of the A.I.D.E Framework. - Comfort using AI tools to complete job functions. ## 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. 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