Director of Engineering (AI Adoption)

Key Responsibilities

• Define and execute a company-wide AI strategy aligned with Veryon’s business objectives
• Partner with ELT and SLT to identify, prioritize, and roadmap AI initiatives across all departments
• Drive organization-wide AI adoption, including training and change management initiatives
• Identify and deliver measurable business value through AI-driven efficiencies and insights
• Lead the integration of AI capabilities across Veryon’s product suite
• Collaborate with Product and Engineering teams to prioritize and deliver AI-driven features
• Evaluate and incorporate emerging AI technologies into the product strategy
• Build, lead, and mentor high-performing AI/ML engineering teams
• Oversee the full lifecycle of AI solutions (design, development, deployment, optimization)
• Establish KPIs to measure AI impact, adoption, and ROI
• Manage partnerships with external vendors and AI technology providers
• Build lasting relationships with large enterprise customers such as commercial aviation operators and OEMs

Airport Domain Expertise

• Apply aviation expertise to ensure AI solutions are operationally relevant and compliant
• Identify opportunities to enhance maintenance, diagnostics, and operational performance
• Align AI initiatives with aviation standards, safety, and regulatory requirements

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
• Engineering leadership experience with a strong focus on AI/ML initiatives
• Proven track record of implementing AI solutions across multiple business functions
• Deep expertise in Generative AI, Natural Language Processing (NLP), and Machine Learning
• Experience building and scaling AI-enabled products in production environments
• Strong understanding of data platforms, architectures, and MLOps practices
• Demonstrated ability to influence executive stakeholders and lead organizational change
• Airport industry experience or strong domain knowledge

Preferred Skills

• Experience building aviation maintenance software solutions and familiarity with industry leading aviation maintenance technology ecosystems
• Experience designing or implementing agentic systems or autonomous workflows
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Strong business acumen with the ability to connect AI initiatives to measurable outcomes
• Excellent communication skills, including translating complex AI concepts to non-technical stakeholders

Airport Industry Experience or Strong Domain Knowledge

Preferred but not required.

Our Core Values

• Fueled by Customers: Customers are at the core of every decision.
• Win Together: Collaboration is our competitive edge.
• Make It Happen: No excuses. Just outcomes.
• Innovate to Elevate: We boldly challenge what’s standard and lift what’s possible.