Lead AI Engineer at DLL Group

Eindhoven, North Brabant, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Development, Technical Leadership, Mentoring, AI Systems Design, Deployment, Stakeholder Collaboration, Enterprise Architecture, Compliance Standards, Responsible AI Innovation, Machine Learning Operations, Model Lifecycle Management, CI/CD, Containerization, Cloud Platforms, Performance Optimization, Strategic Decision Making

Industry

Financial Services

Description

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 more here about 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 this link for 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 Master’s 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 DLL’s 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 DLL’s referral program applies For more information, please contact our Talent Acquisition Partner Omnia Hassan via omnia.hassan@dllgroup.com 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. DLL, a great place to build your career DLL is a global asset finance company that partners with manufacturers, dealers, distributors, and end users to facilitate access to equipment and technology. Headquartered in Eindhoven, the Netherlands, we operate in over 25 countries, offering financial solutions across various industries. We are also a 100% subsidiary of our parent company Rabobank, one of the world’s largest financial companies. Join our community of over 6.000 members from 75 nationalities! At DLL, our unique culture — shaped by our values (We put our customers first -Together we achieve more-You can count on me - I challenge myself and others to grow) and behaviors that define us — is at the heart of everything we do. We offer exciting job opportunities where you feel welcomed, respected and empowered to be your authentic self and share your best ideas. At DLL, we believe in the strength of our diverse perspectives and experiences, which make our global community thrive. You’ll receive competitive pay, generous benefits, health and wellbeing support, and manage your work-life balance through our hybrid working flexibility. Our global operations offer you a variety of development opportunities and we encourage you to take on new challenges across our departments, businesses and regions. Our company strategy emphasizes our commitment to sustainable business and making social impact is part of that as well. Together, we’ll “Partner for a better world” to make a positive impact. Joining DLL, means joining a company that consistently scores higher than the industry average in Employee Engagement surveys. This is also being acknowledged through many Great Place to Work certificates. People who work at DLL, like DLL. Join us in Partnering for a better world!

Responsibilities

This senior technical leader will guide and mentor AI Engineers while actively designing, building, and deploying advanced AI solutions across business functions. Key duties include ensuring AI solutions comply with enterprise architecture, ethical standards, and governance frameworks, and establishing best practices for MLOps.