Head of Engineering

Salary Range:

CAD $175K - $250K

At Architech, we're building the future of software-intelligent, agentic, cloud-native, and enterprise-grade. Headquartered in Toronto with a European hub in Poland and a globally distributed team, we're a 150+ person digital consultancy specializing in modern application development, legacy modernization, and cloud transformation across Azure, AWS, and GCP.

Our clients-leading banks, telcos, retailers, and other market innovators-trust us to deliver high-impact solutions with speed, precision, and partnership. As an AI-First Cloud Transformation Partner, we combine human-centered design, engineering excellence, and machine intelligence to create lasting enterprise value.

To support our next stage of growth and global delivery, we're hiring a Head of Engineering to join our leadership team, reporting to the COO. This is a mission-critical role focused on scaling engineering strategy, delivery performance, and talent across regions. If you're energized by people-first leadership, cutting-edge tech, and driving impact at the intersection of innovation and execution, we'd love to connect.

Key Responsibilities

AI-Driven Engineering & Modernization

• Oversee end-to-end cloud and AI-powered modernization projects, ensuring on-time, on-budget execution and client success
• Embed AI-driven practices into project lifecycles (MLOps, LLM integration, DevOps automation)
• Champion the integration of AI and GenAI innovations into business processes and product offerings to maintain a competitive edge and create scalable solutions
• Translate AI-first innovations into scalable, enterprise-ready solutions and capabilities
• Develop standardized and repeatable AI-powered modernization offerings
• Establish best practices to embed AI across development teams, enhance tooling, and accelerate time to market."

Global Delivery & Operational Excellence

• Optimize a mix of nearshore and offshore talent, having oversight of talent and project success across globally distributed teams
• Foster a collaborative and effective global team culture, ensuring cohesion across diverse regions including North America, Europe, and Asia
• Optimize delivery costs, benchmarking cost per engineer, project margins, and efficiency gains

Partner Ecosystem & Technical Governance

• Ensure engineering teams obtain and maintain advanced certifications with partners including Azure, Google Cloud, and other strategic partners
• Drive technical integration of AI/ML models with partner ecosystems, ensuring co-sell alignment and maximizing Market Development Fund utilization
• Implement technical governance frameworks to enforce security, quality, and AI-first engineering best practices

Security, Infrastructure & Compliance

• Lead IT security and compliance across all nearshore delivery locations, aligning with leading security provider and hyperscaler security frameworks

Talent Development & Team Performance

• Partner with HR to hire and upskill for AI/cloud engineering roles, ensuring team expertise in GenAI, DevSecOps, cloud-native engineering, and automation
• Drive a structured career growth framework to attract and retain high-caliber engineers in global delivery centres

Key Success Metrics

• Client Satisfaction & Retention: Repeat business, long-term engagements, renewal rates, and sustained client references for AI-driven solutions.
• Project Delivery KPIs: Percentage of projects meeting on-time and on-budget targets, AI feature adoption in client deliverables.
• Engineering Culture & Talent Development: employee and project NPS scores, growth and promotion of team members, engineering thought leadership, tech and innovation awards.
• Global Delivery Talent Optimization Strategy & Cost Efficiency for Engineering team: optimize expansion of nearshore/offshore teams, efficiency gains, and cost optimization from global delivery strategies.
• Partner Certification & Adoption: Team certifications achieved, successful partner technology deployments. Partner co-sell success.
• IT & Security Compliance: Achievement of security benchmarks, adherence to compliance regulations, and overall IT infrastructure reliability.

Must-Have Qualifications

• 15+ years in software engineering, with increasing leadership responsibility and at least 5 years in a senior engineering leadership role (Director/VP level) at a high-growth technology company or consulting firm.
• Deep expertise in cloud-native architecture and modern development practices across Azure, AWS, and GCP.
• Demonstrated ability to scale engineering organizations globally, including leading remote-first and distributed teams across North America, Europe, and Asia.
• Proven success in optimizing a follow-the-sun global delivery model to ensure 24/7 delivery coverage and responsiveness.
• Strong background in building and leading agile, high-performance engineering teams, including hiring, coaching, and career development.
• Committed to building a world-class, people-first engineering culture. Promotes trust, transparency, innovation, empowerment, and continuous learning.
• Track record of delivery excellence in enterprise consulting or professional services, with an ability to manage multiple programs and stakeholders.
• Experience building and launching complex cloud-based applications, platforms, or systems for Fortune 500 clients.
• Hands-on experience deploying AI and GenAI in production-across platform engineering, test automation, and intelligent application design.
• Strong business and financial acumen; ability to align engineering priorities with strategic objectives, budgets, and client value.
• Excellent communication, collaboration, and influencing skills-must be able to work cross-functionally with Sales, Delivery, Product, and Client teams.
• Demonstrates empathy and strong interpersonal skills, with a commitment to team development and long-term career growth.
• Comfortable operating in an entrepreneurial environment with a focus on quality, velocity, and continuous improvement.

Nice-to-Have Qualifications

• Experience leading or transforming a global engineering organization using a "build-operate-transfer" model or similar partnership frameworks.
• Prior experience integrating AI-driven quality assurance frameworks, CI/CD, and DevSecOps into production engineering environments.
• Exposure to design systems, digital product development, and modern front-end/backend architecture patterns.
• Experience working with or managing vendors in nearshore/offshore regions (LATAM, Asia-Pacific)
• Knowledge of contracting, IP management, and engineering compliance in cross-border delivery models.
• Familiarity with Canadian and U.S. enterprise procurement processes and vendor ecosystems.
• MBA or advanced technical degree.

Architech is an equal opportunity employer committed to diversity. Should you require any accommodations prior to or during the interview process, please indicate this during the interview process. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.