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About the Role
Act as the accountable Electric Mind technical leader for a large-scale AI Enablement program. Own the adoption approach to Electric Mind’s AI-enablement delivery method and coach Client Tech Leads, QE Leads, and Architects to ensure consistent AI adoption practices across client teams.
Responsibilities
- Act as the single point of Electric Mind technical accountability across assigned pods, owning technical direction and decisions for AI-enabled delivery method adoption.
- Own AI adoption for technical aspects of the Software Delivery Lifecycle, including AI-assisted engineering, code, and QE practices.
- Coach Client Tech Leads, QE Leads, and Architects to foster adoption of AI enablement best practices.
- Reinforce a review-based culture, ensuring strong and disciplined processes for solution design, code reviews, and QE plans.
- Own the integration of the QE approach into the AI enabled lifecycle.
- Own the approach to building technical artifacts for the solution’s AI knowledge-base, ensuring readiness, portability, and reusability.
- Ensure AI-generated technical outputs respect engineering constraints, architecture, coding standards, and enterprise stack limits.
- Ensure the right technical role owner is accountable for technical, QE, architecture, or tooling issues.
- Surface AI Enablement patterns across assigned teams to facilitate program-wide resolution.
- Escalate to the Engineering Lead when factors outside the role's remit impede AI Enablement practice adoption.
Requirements
- Senior technical leadership experience, capable of being the single point of technical accountability across multiple teams.
- Strong understanding of applying AI Enablement methods for technology delivery teams.
- Strong software engineering and architecture literacy, with 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, Architects).
- Experience in disciplined code reviews and documentation review practices.
- Ability to distinguish technical or architecture problems from process, requirements, or delivery-management problems.
- Comfort using AI tools to complete job functions.
- Familiarity with SpecDriven development solutions is a plus.
Skills
- AI Enablement
- Technical Leadership
- Software Engineering
- Architecture
- AI-assisted engineering
- Code Review
- QE Integration
- Technical Artifacts
- AI Knowledge-base
- Engineering Constraints
- Coding Standards
- Problem Solving
- AI Tools
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Electric Mind is a fast-growing, AI-native advisory and digital engineering firm focused on shaping the future.
- We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex 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.
- We offer an environment where ideas matter and impact is visible.
- We provide opportunities for rapid growth, collaboration with exceptional teammates, and the chance to build a company scaling its capabilities and global footprint.
Equal Opportunity
- 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; please advise us if you require accommodation.