AI Engineering Team Lead
Indexed description
Job Description
We're looking for AI Engineering Team Lead to help shape the future of AI-first decisioning platforms within our Sofia engineering organization. This is a high-impact leadership role where you'll combine deep technical expertise, architectural ownership, and people leadership to deliver intelligent systems at scale.
You'll play a pivotal role in transforming how we build software - embedding AI into the core of our platforms, driving innovation, and building teams that deliver meaningful business outcomes.
You will report to Software Engineering Director.
What You'll Do
- Lead the design and delivery of AI-native, production-grade systems integrated into core decisioning platforms
- Build and operate scalable, secure, high-performance AI services
- Define architecture, system design, and engineering standards across teams
- Embed AI capabilities into business-critical workflows
- Contribute hands-on to development using modern backend technologies and best engineering practices
- Champion clean code, testing, and engineering excellence across the SDLC
- Lead, grow, and manage a team of engineers with clear ownership and accountability
- Coach and develop team members in both software engineering and AI capabilities
- Drive performance, feedback, and career development processes
- Promote adoption of AI engineering practices, including model integration and lifecycle management
- Strengthen AI capability across the Sofia engineering organization
- Strong background in software engineering, particularly Java, backend systems, and distributed architectures
- Proven experience leading teams as a hands-on line manager
- Demonstrated success delivering scalable, production-grade systems in enterprise environments
- Experience building or integrating AI/ML or Generative AI solutions in production
- Ability to translate complex business challenges into robust technical solutions
- Solid experience with cloud platforms (e.g., AWS) and modern engineering ecosystems (CI/CD, containers)
- Understanding of AI system design, evaluation, and operational practices (e.g., LLMOps)
- Experience in regulated or data-intensive environments is a strong advantage
- 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.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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