Principal Architect, AI/ML Solutions

1 week ago


Montreal, Quebec, Canada UKG Full time
About the Role

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.

Key Responsibilities
  1. Design and Development: Architecture and design of scalable, high-performance, reliable, and cost-effective AI software and services for HCM and WFM suite of products.
  2. Customer Requirements: Translate customer requirements into architectural models that operate at large scale, with high performance and deployed on serverless cloud.
  3. Prototyping: Create prototypes as a way of demonstrating feasibility of designs and educating stakeholders.
  4. Process Development: 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.
  5. Team Support: Support and mentor a team of highly motivated engineers in design implementations, best practices for AI/ML applications.
  6. Leadership: 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.
  7. Communication: Comfortably present and acquire consensus using multiple methods: written diagrams and text, in-person meetings, and remote presentations to both technical, semi-technical, and non-technical audiences.
Requirements
  1. Experience: 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.
  2. Technical Skills: 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.

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