Company description
Serasa Experian is the first and largest Datatech in Brazil. A leader in intelligence solutions for risk and opportunity analysis, focused on the credit, authentication and fraud prevention journeys. With cutting-edge technology, innovation and the best talent, it turns the uncertainty of risk into the best decision, helping people achieve their dreams and companies of all sizes and segments thrive.
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. With corporate headquarters 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 a Specialist II in AI Engineering to accelerate the adoption of Artificial Intelligence within the Marketing Services structure, connecting deep technical expertise in GenAI with concrete opportunities for product, operational efficiency and value creation 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 a reference in experimentation, we are looking for someone with hands-on experience applying AI to accelerate digital product strategies, improve journeys and support business decisions with a focus on real impact.
Qualifications
Main responsibilities
- Conduct comparative experiments with different LLMs, agents and GenAI architectures applied to real business cases;
- Design, optimize and evolve RAG pipelines, including chunking strategies, embeddings, retrieval and continuous evaluation;
- Structure evaluation and benchmarking frameworks for GenAI applications, considering quality, relevance, reliability, cost, latency and alignment with 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, weighing technical and business trade-offs;
- Work in partnership with Product, Engineering, Data and Leadership teams to identify where AI can accelerate digital product strategies and increase value for the BU;
- Translate technical results into clear recommendations for roadmap, architecture, governance and capability development;
- Contribute to best practices, technical standards and responsible use of GenAI within the structure;
- Support the building of an applied AI vision for Marketing Services, connecting technological trends to the real needs of clients, partners and products.
Mandatory requirements
- 3+ years of proven experience in coordination, technical leadership or high-responsibility roles;
- Experience in AI Engineering, Machine Learning, Data Science, MLOps or related areas;
- Track record of working with real autonomy, going beyond executing directions;
- Excellent ability to understand, interpret and influence the strategy of the business unit ;
- Experience in experimentation, technological innovation and continuous improvement, with a focus on measurable impact;
- Hands-on experience with GenAI and LLMs in real business contexts;
- Experience designing, evaluating and evolving solutions with RAG, embeddings, retrieval and/or agents;
- Experience in initiatives that connected AI to digital products, 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 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 turn technical conclusions into actionable recommendations.
Differentiators
- Experience 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 workflows, using n8n, Flowise, LangFlow or equivalents;
- Experience with Prompt Optimization, including DSPy or similar approaches;
- Ability to move well between technical exploration and executive prioritization.
Expected competencies
- Analytical thinking and a strong evidence orientation;
- Ability to handle ambiguity and turn exploration into practical direction;
- Clear communication for both technical and non-technical audiences;
- Autonomy, 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
- Significant 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 turn AI capabilities into concrete initiatives for products, journeys and strategic priorities of Marketing Services.
Qualifications
- Hands-on experience with GenAI and LLMs in real business contexts;
- Experience 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, expanding opportunities for people and companies, in Brazil we are more than 4 thousand people working across various teams and specialties. Here, every skill 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 career with their personal commitments and interests, valuing well-being.
We are very committed to being one of the best and most innovative companies to work for in the country, enabling amazing experiences and careers for our people. Our strong people-first approach is recognized externally through several 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 tells us we are on the right path, providing an increasingly better work environment for our talent.
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