AI Technical Lead

TL;DR

AI Technical Lead: Shaping architecture and engineering standards for AI solutions, overseeing implementation from concept to production with an accent on modern AI/ML tooling and cloud technologies. Focus on establishing best-practice engineering ecosystems, CI/CD pipelines, and ensuring high-quality outputs across teams.

Location: Leeds / Hybrid, 2x days per week

Salary: £80,000-£100,000

Company

hirify.global is a forward-thinking technology consultancy delivering cutting-edge AI solutions.

What you will do

• Lead AI-focused architecture, design, and engineering delivery across client engagements.
• Oversee end-to-end implementation of AI/ML solutions, from concept through to production.
• Act as the senior engineering authority, ensuring high-quality outputs across wider teams.
• Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies.
• Collaborate with cross-functional teams to translate technical requirements into actionable engineering plans.
• Build strong relationships with stakeholders, providing guidance and thought leadership throughout delivery.

Requirements

• Strong commercial experience with AI and ML tools, frameworks, and delivery methods.
• Confident acting as the "first engineer on the ground" to drive direction and standards.
• Hands-on proficiency with cloud platforms and modern engineering patterns.
• Full-stack technical capability across front-end and back-end technologies (e.g., React, Vue, Flutter, C#, Java, Python, Node, Go).
• Broad exposure to CI/CD tooling, automation technologies, and test engineering.
• Strong understanding of agile principles with experience embedding best practice across teams.
• Excellent communication, emotional intelligence, and stakeholder engagement skills.
• Analytical mindset with strong attention to detail and comfort with complexity and evolving AI landscapes.

Culture & Benefits

• Competitive salary and comprehensive healthcare.
• Hybrid/remote working options for improved work-life balance.
• Ongoing professional development, including AI/ML upskilling and access to technical communities.
• Opportunity to work with modern technologies and shape high-value digital solutions.
• Exposure to a broad portfolio of impactful projects across multiple industries.