Principal Architect, AI/ML

at  UKG Ultimate Kronos Group

COMPANY OVERVIEW

Here at UKG, our purpose is people™. Our HR, payroll, and workforce management solutions help organizations unlock happier outcomes for all. And our U Krewers, who build those solutions and support our business, are talented, collaborative, and innovative problem-solvers. We strive to create a culture of belonging and an employee experience that empowers our people – both at work and at home. Our benefits show that we care about the whole you, from adoption and surrogacy assistance to tuition reimbursement and wellness programs. Our employee resource groups provide a welcoming place to land, learn, and connect with those who share your passions and interests. What are you waiting for?

DESCRIPTION & QUALIFICATIONS

Description
UKG is a leading provider of strategic HR, payroll, talent and workforce management solutions for organizations of all sizes. We are seeking a Principal 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

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 previous 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.
• Good communication skills in French and English, both written and spoken.

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.

Disclaimer

• Quebec candidates: While French is required for Quebec roles, use of the English language is also required due to the global nature of the business and the need to interact with UKG US headquarters and international sites.

• 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