Company Overview

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.

Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.

UKG is a leading provider of strategic HR, payroll, talent and workforce management solutions for organizations of all sizes. We are seeking a Architect to join our growing team of talented AI Architects, Machine Learning Engineers and Data Scientists. The hire will be responsible for systems architecture of AI solutions embedded in our HCM and WFM product lines. This role will work as a thought leader in our cross-functional teams to help define and govern the processes spanning over the whole AI/ML development lifecycle. The ideal candidate is an experienced software architect with experience in cloud infrastructure, machine learning and software development principles. This role will be reporting to the Head of AI Architecture at UKG as a member of the AI/ ML engineering team.

Primary Responsibilities:

• Architecture and design of scalable, high-performance, reliable, and cost effective - AI software and services for HCM and WFM suite of products

• Translate customer requirements into architectural models that operate at large scale, with high performance and deployed on serverless cloud.

• Create prototypes as a way of demonstrating feasibility of designs and educating stakeholders.

• Define, deploy and advance processes for: AI/ML Development and MLOPS including API-first principles, microservices, SDLC/MDLC (model development life cycle), CI/CD, quality, monitoring, observability, security, extensibility and maintainability of software and services.

• Support and mentor a team of highly motivated engineers in design implementations, best practices for AI/ML applications

• Lead by example to review code, look for design breaches, provide meaningful and relevant feedback to data scientists and engineers, stay up to date with system changes.

• Comfortably present and acquire consensus using multiple methods: written diagrams and text, in-person meetings, in-person, and remote presentations to both technical, semi-technical and non-technical audiences.

Qualifications:

• 3+ years of experience in architecting and building AI and ML products or platforms in a software product development organization. Designing cloud native services in either GCP, AWS or Azure.

• 15+ years of software engineering experience with proficiency in:

• One or more modern programming languages like Java, Python or Scala.

• Variety of database technologies like Postgres, SQL Server, Big Query, Mongo DB.

• Enterprise-level messaging and event streaming solutions (Kafka, Pub Sub, RabbitMQ, or Spark).

• CI/CD, DevOps, and related tooling, including Gradle, Jenkins, Quark and Maven.

• Understanding of machine learning algorithms such as Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, Random Forest.

Preferred Qualifications:

• Experience with data governance and management best practices. Data modeling specifically for building insights and serving.

• Experience building, optimizing deploying ML workflows/pipelines. Experience working with Docker containers and cloud-based computing environments; tools and platforms: GCP, Vertex AI, Kubernetes, Composer, Big Query

• Understanding of NLP algorithms, LLMs and Generative AI.

• Experience with Services Oriented Architecture, microservices principles

• Lead ambiguous and complex situations to clear measurable plans.

• Education: bachelor’s degree in computer science, Mathematics, Information Systems, or similar field, or equivalent experience.

Where we’re going

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.     

Disability Accommodation 

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.