▷ (3 Days Left) Prinicipal, Machine Learning Engineer

Your work days are brighter here At Workday it all began with a conversation over breakfast When our founders met at a sunny California diner they came up with an idea to revolutionize the enterprise software market And when we began to rise one thing that really set us apart was our culture A culture which was driven by our value of putting our people first And ever since the happiness development and contribution of every Workmate is central to who we are Our Workmates believe a healthy employee-centric collaborative culture is the essential mix of ingredients for success in business That s why we look after our people communities and the planet while still being profitable Feel encouraged to shine however that manifests you don t need to hide who you are You can feel the energy and the passion it s what makes us unique Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey Bring your brightest version of you and have a brighter work day here At Workday we value our candidates privacy and data security Workday will never ask candidates to apply to jobs through websites that are not Workday Careers Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not In addition Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services in order to apply for a job at Workday About the Team The Enterprise Data Science and Innovation team is driving the future of artificial intelligence at Workday We develop breakthrough solutions using the latest GenAI technology stack while building maintaining and monitoring GenAI based solution and ML models that deliver game-changing insights to power critical business functions across Sales Marketing Finance Customer Experience and other key organizational areas Our team consists of diverse and passionate data scientists and ML engineers who are committed to delivering Advanced Analytics insights that directly impact both revenue growth and operational efficiency We foster a collaborative supportive work environment where innovation thrives and team members genuinely enjoy working together to solve complex challenges About the Role As a key member of our fast-moving team you will have the unique opportunity to define and execute the vision for AI and LLM-based systems at scale You will be at the forefront of developing next-generation AI and Large Language Model based solution that transform how Workday delivers intelligent solutions to our customers and internal stakeholders We are looking for someone with exceptional programming expertise deep distributed systems knowledge and the curiosity and grit to tackle complex ambiguous challenges You will work across a diverse technology stack collaborate closely with engineers and product leaders and help set the technical direction for AI initiatives while architecting and building robust scalable AI LLM platforms from the ground up About You Basic Qualifications 12-15 years in software solution or enterprise architecture with hands-on delivery of production-grade AI ML systems Architect design and implement production systems in Python full-stack experience a plus Deep expertise in cloud architecture on at least one hyperscaler AWS Azure GCP with ability to design and optimize cloud-native AI workloads Proven MLOps and ML platform experience data pipelines PySpark model lifecycle training evaluation deployment CI CD and monitoring Working knowledge of Generative AI LLMs prompting fine-tuning and rapid prototyping Strong foundation in SaaS multi-tenant architectures microservices and APIs particularly around integrating AI into products and workflows Excellent communication skills able to engage both executives whiteboarding and engineers deep technical dives Solid understanding of security privacy and compliance considerations in enterprise AI e g data governance model safety Bachelor s degree in Computer Science Engineering Mathematics or equivalent advanced degrees or equivalent experience also considered Mentor and guide engineers from junior to senior levels fostering technical excellence Skilled at presenting complex technical topics at both abstract and implementation levels Preferred Qualfications Experience with Agentic AI orchestration frameworks tool use lifecycle interoperability Familiarity with LangChain LLMOps tools vector search RAG retrieval pipelines Knowledge of Responsible AI practices including governance risk human-in-the-loop and auditability in enterprise settings Consulting or industry solutions background with ability to map domain needs to AI architectures Recognized technical leadership through publishing mentoring or internal standards contributions Experience aligning AI ML with enterprise roadmaps and platforms e g Databricks Open-source contributions or significant personal technical project Our Approach to Flexible Work With Flex Work we re combining the best of both worlds in-person time and remote Our approach enables our teams to deepen connections maintain a strong community and do their best work We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half 50 of our time each quarter in the office or in the field with our customers prospects and partners depending on role This means you ll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter Are you being referred to one of our roles If so ask your connection at Workday about our Employee Referral process