Company description
Serasa Experian is the first and largest Datatech in Brazil. We are a leader in intelligence solutions for risk analysis and opportunities, focusing on credit journeys, authentication, and fraud prevention. With cutting-edge technology, innovation, and the best talent, we transform the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments to prosper.
We have 22,000 people operating in 32 countries, and every day we are investing in new technologies, talented professionals, and innovation to help all clients maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100 index.
Job description
We are looking for an AI Engineering Specialist II to accelerate the adoption of Artificial Intelligence within the Marketing Services structure, connecting technical depth in GenAI with concrete product opportunities, operational efficiency, and value generation for the BU.
This position will play a central role in the evolution of solutions based on LLMs, RAG, and agents, supporting the identification of use cases, the definition of technical approaches, and the translation of experimental learning into actionable recommendations for Product, Engineering, and Leadership.
More than just a reference in experimentation, we are looking for someone with practical experience in applying AI to accelerate digital product strategies, improve journeys, and support business decisions with a focus on real impact.
Qualifications
Key responsibilities
- Conduct comparative experiments with different LLMs, agents, and GenAI architectures applied to real business cases;
- Design, optimize, and evolve RAG pipelines, including chunking, embeddings, retrieval, and continuous evaluation strategies;
- Structure evaluation and benchmarking frameworks for GenAI applications, considering quality, relevance, reliability, cost, latency, and adherence to the use case;
- Measure performance, cost, and ROI of AI-based solutions, supporting prioritization and scaling decisions;
- Support decisions on when to use Prompt Engineering, RAG, Fine-Tuning, or multi-agent architectures, evaluating technical and business trade-offs;
- Partner with Product, Engineering, Data, and Leadership teams to identify where AI can accelerate digital product strategies and expand value for the BU;
- Translate technical results into clear recommendations for roadmap, architecture, governance, and capability evolution;
- Contribute to best practices, technical standards, and the responsible use of GenAI within the structure;
- Support the construction of an applied AI vision for Marketing Services, connecting technological trends to the real needs of clients, partners, and products.
Mandatory requirements
- 5+ years of experience in AI Engineering, Machine Learning, Data Science, MLOps, or related fields;
- Practical experience with GenAI and LLMs in a real business context;
- Experience in the design, evaluation, and evolution of solutions with RAG, embeddings, retrieval, and/or agents;
- Experience in initiatives that connected AI to digital product, operational efficiency, automation, or journey acceleration;
- Advanced proficiency in Python;
- Solid knowledge of SQL and handling large volumes of data;
- Consistent foundation in statistics, data analysis, and experimentation;
- Experience with evaluating generative models, including traditional metrics and LLM-based approaches;
- Familiarity with LLM frameworks and ecosystems, such as OpenAI SDK, LangChain, CrewAI, or equivalents;
- Ability to document trade-offs and transform technical conclusions into actionable recommendations.
Preferred qualifications
- Experience in accelerating AI adoption within a Business Unit, connecting technology to strategy and execution;
- Experience with digital products, personalization, automation, Martech, or growth-oriented journeys;
- Experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow;
- Familiarity with AWS Bedrock Agents / AWS Agent Core;
- Experience with automation and orchestration of GenAI flows, using n8n, Flowise, LangFlow, or equivalents;
- Experience with Prompt Optimization, including DSPy or similar approaches;
- Ability to navigate well between technical exploration and executive prioritization.
Expected competencies
- Analytical thinking and strong evidence-based orientation;
- Ability to handle ambiguity and transform exploration into practical direction;
- Clear communication for both technical and non-technical audiences;
- Autonomy, sense of ownership, and technical responsibility;
- Strong collaboration with multidisciplinary teams;
- Continuous curiosity and critical reading to separate hype from real value;
- Ability to connect technical depth with business impact.
Expected scope for Specialist II
- Relevant influence on GenAI architecture and strategy decisions;
- Acting as a technical reference for initiatives applied to the BU;
- Active role in accelerating the AI adoption curve in Marketing Services;
- Ability to connect technical excellence with product and business direction.
What should differentiate this profile
We are looking for someone who combines technical excellence in GenAI with an applied business vision, and who can transform AI capabilities into concrete initiatives for products, journeys, and strategic priorities of Marketing Services.
Qualifications
- Practical experience with GenAI and LLMs in a real business context;
- Experience in applying AI to accelerate digital products and journeys;
- Experience with RAG, embeddings, retrieval, and solution evaluation;
- Ability to connect technical decisions with business impact, cost, and ROI;
- Proficiency in Python, SQL, and data analysis/experimentation;
- Ability to translate technical topics for stakeholders.
Additional information
Serasa Experian is much more than you imagine. With the purpose of creating a better future by expanding opportunities for people and companies, in Brazil we are more than 4,000 people working in diverse teams and specialties. Here, each knowledge and diversity complements each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their careers with their personal commitments and interests, valuing well-being.
We are dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.
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