Director of Engineering – AI Adoption

🕒 May 1

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Veryon

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1973

🚀 Aerospace

☁️ SaaS

🤝 B2B

Aerospace • SaaS • B2B

Veryon is a provider of intelligent aviation management software that helps aircraft owners, operators, MROs and OEMs increase aircraft uptime. Its cloud-based SaaS platform offers maintenance tracking, inventory and work order management, flight operations, technical publications distribution, defect analysis, reliability management and guided troubleshooting. Veryon integrates via REST APIs, leverages AI/ML for analytics and diagnostics, and emphasizes security and compliance (ISO 27001/9001) for business, commercial and helicopter aviation customers worldwide.

📋 Description

• 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 • Partner with Security and Compliance teams to grow and ensure adherence of Veryon’s AI governance, best practices, and responsible AI usage • 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 • Define and execute the roadmap for evolving products into agentic, decision-capable systems • Collaborate with Product and Engineering teams to prioritize and deliver AI-driven features • Ensure scalable & reliable deployment of AI/ML models in production environments • Evaluate and incorporate emerging AI technologies into the product strategy • Build, lead, and mentor high-performing AI/ML engineering teams • Drive cross-functional collaboration across all departments of Veryon including technology, product, sales, marketing, customer support, customer success, people operations and finance • 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 • 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 • Aviation industry experience or strong domain knowledge

🏖️ Benefits

• Health insurance • Professional development opportunities