Staff AI Engineer

🔥 9 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Experian

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead the strategy for the use and adoption of Artificial Intelligence across Marketing Services products • Conduct comparative experiments with different LLMs, agents, and GenAI architectures • Design, optimize, and evolve RAG pipelines, including chunking, embeddings, retrieval, and continuous evaluation • Establish evaluation and benchmarking frameworks for GenAI applications • Measure the performance, cost, and ROI of AI-powered solutions • Decide between Prompt Engineering, RAG, Fine-Tuning, and multi-agent architectures • Identify AI opportunities with Product, Engineering, Data, and Leadership teams • Translate technical results into recommendations for the roadmap, architecture, governance, and capabilities • Establish best practices, technical standards, and responsible GenAI usage • Build the applied AI vision for Marketing Services • Provide functional leadership to AI Engineers through technical direction, architecture reviews, mentoring, and documentation • Influence GenAI architecture and strategy decisions across multiple squads • Track production use cases, lead time, inference cost, component adoption, and BU autonomy

🎯 Requirements

• 5+ years of experience in software engineering, data, or Machine Learning, with a track record of increasing technical responsibility • Proven experience leading technology transformation at the department, business unit, or organizational level, with measurable results • Experience establishing standards, components, or technical practices adopted by other teams • Proven experience taking GenAI solutions to production, using RAG and/or agents, with real users, ongoing support, and quality and cost measurement • Hands-on experience with GenAI and LLMs in a real-world business context • Experience designing, evaluating, and evolving solutions using RAG, embeddings, retrieval, and/or agents • Experience connecting AI to digital products, operational efficiency, automation, or journey acceleration • Advanced proficiency in Python • Strong knowledge of SQL and large-scale data manipulation • Solid foundation in statistics, data analysis, and experimentation • Experience evaluating generative models using traditional metrics and LLM-based approaches • Familiarity with the OpenAI SDK, LangChain, CrewAI, or equivalent tools • Experience building MCP (Model Context Protocol) servers • Ability to document trade-offs and turn technical conclusions into actionable recommendations • Experience developing engineers through mentoring and raising the technical bar • Ability to influence roadmaps and architecture decisions without formal authority • Advanced English proficiency is required for reading, writing, and conversation • Experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow is a plus • Familiarity with AWS Bedrock Agents / AWS Agent Core is a plus • Experience with n8n, Flowise, LangFlow, or equivalent tools is a plus • Experience with Prompt Optimization, including DSPy or similar tools, is a plus

🏖️ Benefits

• An inclusive culture and an environment that supports balancing your career with personal commitments and interests • Commitment to employee well-being • Opportunities for exceptional experiences and career growth • Great Place To Work™ recognition in 24 countries • International Top Employers certification • 4.6 rating on Glassdoor