
10,000+ employees
Founded 1996
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
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10,000+ employees
Founded 1996
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
• Lead comparative experiments with different LLMs, agents, and GenAI architectures applied to real-world business use cases • Design, optimize, and evolve RAG pipelines, including chunking, embeddings, retrieval, and continuous evaluation • Structure evaluation and benchmarking frameworks for GenAI applications • Measure the performance, cost, and ROI of AI-based solutions • Support decisions related to Prompt Engineering, RAG, Fine-Tuning, and multi-agent architectures • Partner with Product, Engineering, Data, and Leadership teams • Identify opportunities where AI can accelerate digital product strategies and increase value for the business unit • Translate technical results into recommendations for roadmap, architecture, governance, and capability development • Contribute to best practices, technical standards, and the responsible use of GenAI • Build an applied AI vision for Marketing Services • Influence GenAI architecture and strategy decisions • Serve as a technical reference and accelerate AI adoption across Marketing Services
• 3+ years of proven experience in coordination, technical leadership, or high-responsibility roles • Experience in AI Engineering, Machine Learning, Data Science, MLOps, or related fields • Demonstrated track record of working with genuine autonomy • Excellent ability to understand, interpret, and influence the business unit’s strategy • Experience in experimentation, technological innovation, and continuous improvement, with a focus on measurable impact • Hands-on experience with GenAI and LLMs in real-world business contexts • Experience with RAG, embeddings, retrieval, and/or agents • Experience with initiatives that connected AI to digital products, operational efficiency, automation, or journey acceleration • Advanced proficiency in Python • Strong knowledge of SQL and manipulation of large datasets • Solid foundation in statistics, data analysis, and experimentation • Experience evaluating generative models, including traditional metrics and LLM-based approaches • Familiarity with the OpenAI SDK, LangChain, CrewAI, or equivalent technologies • Ability to document trade-offs and turn technical conclusions into actionable recommendations • Preferred: experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow • Preferred: familiarity with AWS Bedrock Agents / AWS Agent Core • Preferred: experience with n8n, Flowise, LangFlow, or equivalent technologies • Preferred: experience with Prompt Optimization, including DSPy or similar approaches
• Inclusive environment and people-first culture • Commitment to employee well-being • Opportunities to balance your career with personal commitments and interests • Career development opportunities and professional experiences • Great Place To Work™ recognition in 24 countries • International Top Employers certification
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