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Meaningful Work From Day One Join our team and help shape the data foundation that will power Brown-Forman’s next generation of analytics and AI capabilities. As the Lead AI & Data Engineer, this role offers the opportunity to accelerate our digital transformation by building a trusted, scalable cloud data foundation essential for analytics, reporting, Master Data Management (MDM), and future AI capabilities. Bring strong engineering discipline, curiosity, and business partnership to solve meaningful problems, modernize how we work with data, and make a visible impact across the enterprise. Collaborating closely with business and technology teams, this position will translate high-value business problems into production-grade data solutions, while also helping to shape next-generation AI applications such as RAG, conversational AI, and agentic workflows. What You Can Expect Business partnership and problem definition: Partner directly with business stakeholders to understand needs, clarify ambiguity, and translate business problems into clear technical requirements, data products, and delivery plans. Cloud data-platform modernization: Help drive the modernization of data infrastructure from on-premises platforms to cloud-based solutions. Design and implement scalable datalakehousepatterns that support reliable ingestion, transformation, storage, and consumption of enterprise data. Data pipelines and SaaS integration: Partner with Data Engineering teams to design, build, andoperateresilient, reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services. Collaborate on integrating data from SaaS platforms, enterprise applications, and other source systems into the enterprise data ecosystem while adhering toestablisheddata architecture standards, governance, and controls. Data modeling, quality, and Master Data Management (MDM) enablement: Develop analytical models, AI-enabled solutions, and decision-support capabilities that drive business value. Work closely with Data Engineering, MDM, and business stakeholders toidentify,validate, and prepare trusted data needed for reporting, advanced analytics, machine learning, and intelligent automation initiatives. AI-ready data foundations: Prepare governed, discoverable, and high-quality data that powers LLM, RAG, vector-search, conversational AI, and agentic applications. As the enterprise data foundation evolves, contribute to the design, development, and deployment of AI-enabled business solutions. Partner with business stakeholders and the AI Center of Excellence to deliver secure, scalable solutions that adhere to governance, security, compliance, and responsible AI standards. Advanced analytics and reporting modernization: Enable trustworthy, performant datasets for Tableau, AWS Quick, and other reporting experiences. Support the modernization and rationalization of reporting layers as the cloud data platform evolves. Engineering excellence: Develop, test, deploy, monitor, and document production-grade data solutions. Establishhigh standardsfor code quality, observability, reliability, security, and maintainability. Technical leadership: Bring a pragmatic, hands-on approach to solving complex problems. Share engineering practices, coach peers, and help raise the team’s capability in cloud data engineering and AI-enabled delivery. What You Bring To The Table 3+ years of dedicated experience in Data Science, Data Engineering, orAI, or 7+years of combined work and educationexperience. Experience building and deploying production-ready data and AI solutions. Strong understanding of modern data architectures, cloud technologies, and analytical platforms, with the ability to select and apply theappropriate toolsfor a given business challenge. Strong Python and advanced SQL skills, with the ability to build scalable, maintainable, and well-tested data pipelines andoptimizecomplex transformations and queries. Experience partnering with Enterprise Architecture, Integration, and Data Engineering teams to support the design and implementation of modern datalakehouseand cloud data platform architectures that enable advanced analytics, AI, and business solutions. Proven ability to work directly with business stakeholders, translate non-technical needs into technical requirements, and communicate technical decisions and tradeoffs clearly. Experience integrating disparate systems through APIs, batch interfaces, and SaaS platforms, with attention to reliability, security, monitoring, and error handling. Experience with data modeling, dataquality controls, reconciliation, lineage, and operational support for enterprise data pipelines. Familiarity with Master Data Management concepts, including master-data domains, data stewardship, dataquality rules, match/merge logic, survivorship, golden records, and governance. Experience enabling BI and reporting tools such as Tableau and/or AWS Quick. Exposure tomodel evaluation, prompt engineering, or model customization techniques. What Makes You Unique Experience with AWS cloud services is preferred, including designing andoperatingscalable data, analytics, and AI solutions. Experience with Databricks and modern datalakehousearchitectures is preferred, including data engineering, analytics enablement, governance, and preparation of trusted datasets that support advanced analytics and AI applications. Experience building or supporting RAG applications, conversational AI solutions, AI agents, or LLM-powered business applications is preferred. Familiarity with Hadoop, Cloudera, and/or Impala environments isa plus. Working Arrangement In-office at the Brown-Forman Louisville, Kentucky Corporate Headquarters Monday to Thursday, with flexibility to work remotely on Fridays. Who We Are We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work. What We Offer Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offer equitable pay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce. Brown-Forman Corporation is committed to equality of opportunity in all aspects of employment. It is the policy of Brown-Forman Corporation to provide full and equal employment opportunities to all employees and potential employees without regard to race, color, religion, national or ethnic origin, veteran status, age, gender, gender identity or expression, sexual orientation, genetic information, physical or mental disability or any other legally protected status. Business Area: Global Information Technology Function: IT City Louisville State: Kentucky Country: USA Req ID: JR-00010238
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.