Lead AI Engineer

Lead AI Engineer

The Lead AI Engineer is a senior technical leader who combines strategic vision with hands-on expertise in AI solution development. This role not only guides and mentors AI Engineers but actively contributes to designing building and deploying advanced AI systems. The Lead AI Engineer collaborates closely with business stakeholders and technology teams to identify high-impact opportunities ensuring solutions are scalable secure and aligned with enterprise architecture and compliance standards. The position fosters a culture of responsible AI innovation and continuous improvement.

The lead AI engineer works closely with Enterprise Architecture and platform teams to ensure that architecture standards respective delivery processes are aligned with latest AI technologies.

Find out morehereabout how you can unleash your full potential at DLL

Day to day:

• Provide leadership and technical guidance to AI Engineers and related roles.
• Drive the design development and deployment of advanced AI solutions across business functions.
• Collaborate with business stakeholders to identify opportunities for AI-driven innovation using the innovation funnel.
• Ensure AI solutions comply with enterprise architecture ethical standards regulatory requirements information security standards and internal governance frameworks.
• Mentor and develop AI talent fostering a high-performing and innovative team culture.
• Represent the organization in external AI forums and contribute to shaping industry standards.
• Influence enterprise-wide technology decisions and contribute to AI strategy development.
• Lead by example through hands-on design coding and deployment of AI solutions.
• Establish best practices for Machine Learning Operatios model lifecycle management and production-grade AI systems.
• Collaborate with Enterprise Architecture and platform teams to integrate AI solutions into enterprise systems and ensure scalability and maintainability.
• Ensure robust monitoring performance optimization and reliability of deployed AI solutions.

All members enjoy

• Two working days per year volunteering for a local charity.
• Health and Wellness program including healthy food free health checks fun health & vitality activities.
• Flexible hours with possibility to work from home
• Career development opportunities: online learning member development programs.
• Click thislinkfor an overview of all the benefits in your region.

We lead the way in meeting the need for flexibility and transparency which our customers increasingly expect

Required Qualifications and Experience

• Masters degree in Computer Science Artificial Intelligence Data Science or a related field (PhD preferred).
• 10 years of experience in AI/ML roles including leadership responsibilities.
• Proven track record in designing and implementing AI solutions that deliver measurable business impact.
• Experience in financial services or similar regulated industries is a plus.
• Deep knowledge of AI technologies including machine learning deep learning NLP computer vision and generative AI.
• Strong understanding of compliance frameworks (e.g. GDPR EU AI Act) and ethical AI principles.
• Experience deploying AI models into production environments at scale.
• Proficiency in software engineering principles including CI/CD containerization (Docker/Kubernetes) and cloud platforms (Azure AWS GCP).

Skills and Competencies

• Exceptional leadership and team management skills.
• Advanced technical expertise in AI and related technologies.
• Strong business acumen and ability to translate technical concepts into business value.
• Excellent communication and stakeholder management skills.
• Innovative mindset with a focus on continuous improvement and emerging technologies.
• Ability to influence strategic decisions and drive organizational change.
• Ability to balance strategic leadership with hands-on technical execution.
• Expertise in designing scalable AI architectures and integrating them into enterprise systems.
• Strong problem-solving skills and ability to make trade-offs between speed cost and quality.

Choose wellbeing

DLLs wellbeing ambition is to educate equip and empower members to build connections manage their mental emotional physical and financial wellness and maintain balance between work and the other priorities that make up their lives.

Our four wellbeing categories are as follows:

• Connection Build meaningful connections with other DLL members
• Health Manage mental emotional and physical health
• Finance Provide learning opportunities to help members achieve personal financial health
• Lifestyle Maintain balance between work and life priorities

These are the things that matter to our members and the wellbeing of our members matters to DLL

Good to know:

• Deadline for application: March 29th (Due to high volume of applications this requisition may close prior to posted close date)
• The selection process may involve an assessment
• Applications via email will not be reviewed. Please apply online via our career website
• #LI-OMNIA
• DLLs referral program applies
• For more information please contact our Talent Acquisition Partner Omnia Hassan via

DLL appreciates the time you spend applying to our openings. We advise only those who qualify for an interview will be contacted. Hiring subject to successful completion of a background check.

DLL is an equal opportunity employer. We are committed to inclusive barrier-free recruitment and selection processes and work environments. If contacted for an employment opportunity please advise Human Resources if you require accommodation in accordance with our values and all applicable legislation.