About this role
We are looking for a Lead AI Engineer to join our Sofia engineering organization and lead the delivery of AI-native software solutions across our decisioning platforms.
This is a senior technical leadership role with line management responsibility, combining hands-on engineering, architectural ownership, and people leadership. The role strengthens our capability to deliver AI-first solutions at scale, while building and leading engineering teams. You will report to Software Engineering Director.
What you'll do:
Technical Leadership & Delivery
Design, build, and deliver AI-native, production-grade systems integrated into core platformsDevelop and operate scalable, secure, and high-performance AI servicesDefine and guide architecture, system design, and engineering standardsEmbed AI capabilities into business-critical workflows and decisioning platformsHands-on Engineering
Contribute directly to development using modern backend technologies and engineering practicesChampion clean code, testing, and engineering excellence across the SDLCPeople Leadership (Line Management)
Directly manage a team of engineers, ensuring clear ownership, accountability, and delivery outcomesCoach and develop team members, supporting growth in both software engineering and AI capabilityDrive performance management, feedback cycles, and career developmentCreate a culture of high standards, continuous improvement, and execution disciplineAI Capability & Transformation
Drive adoption of AI engineering practices, including model integration and lifecycle awarenessContribute to building AI capability within the Sofia engineering organizationBridge business priorities, AI strategy, and engineering executionCollaboration
Work closely with Product Owners, Architects, and stakeholders to deliver impactful solutions What you'll bring:
Strong experience in software engineering (Java / backend / distributed systems)Proven experience leading engineering teams as a line managerTrack record of delivering scalable, production-grade systems in enterprise environmentsExperience working with or integrating AI/ML or Generative AI solutions in productionStrong ability to translate business problems into technical solutionsExperience with cloud platforms and modern engineering ecosystems (e.g. AWS, CI/CD, containers)Understanding of AI system design, evaluation, and operational practices (e.g. LLMOps)Experience in regulated or data-driven environments You will get:
Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.Opportunity for Flexible working hours and Home Office.Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here