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At EY we re all in to shape your future with confidence We ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go Join EY and help to build a better working world AI Native Engineering-SAP EY is a global leader in assurance tax transaction and advisory services Technology is at the heart of what we do and deliver at EY Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization Fueled by strategic investment in technology and innovation Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale As part of Client Technology you ll work with technologists and business experts blending EY s deep industry knowledge and innovative ideas with our platforms capabilities and technical expertise As a catalyst for change and growth you ll be at the forefront of integrating emerging technologies from mobile application into every corner of what we do at EY That means more growth for you exciting learning opportunities career choices and the chance to make a real impact Your key responsibilities Assist in the collection and documentation of users requirements development of user stories estimates and work plans Ensure modern AI Gen AI best practices are applied Develop validate and deploy AI models Establish and maintain development standards best practices Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability Share the knowledge on the best ML Engineering practices with the team Skills and attributes for success 4 years of experience in AI development Strong programming skills with expertise in languages like Python with a good knowledge of ML Data and API libraries Expertise in creating end-to-end data pipelines sourcing exploration automation etc Experience with AI model and its development Should have knowledge in ModelOps MLOps AutoML AI Ethics Trust and Explainable AI Understanding of some of the popular ML frameworks such as SparkML Tensorflow scikit-learn XGBoost H2o etc Experience working in a cloud environment SAP AWS Azure GCP or a containerized environment Mesos Kubernetes Interest in understanding functional and industry business challenges Ideally you ll also have Expertise in Big Data Data Modeling Experience working with SAP platforms SAP AI Core SAP Data Intelligence Embedded Analytics in S 4HANA or SAP Analytics Cloud Exploring and visualizing data to gain an understanding of it then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality and or ensuring it via data cleaning Defining data augmentation pipelines Training models and tuning their hyperparameters Experience Experience in LLM s LSTM RNN Tensorflow H2O are added advantage Experience in deploying AI ML platforms on Kubernetes and Containerization Experience working with large data sets leveraging distributed systems e g Spark Hadoop Experience in managing AI ML cluster features like API endpoints management Security SSO Auditing version control etc Valuable to have additionally Experience with IBM services for AI ML WatsonX Assistant Discovery or other What we look for A self-starter independent-thinker curious and creative person with ambition and passion EY Building a better working world EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories .
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.