Principal Architect, AI/ML

Key Skills

Apache Kafka, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Google BigQuery, Google Cloud Platform (GCP), Java Programming, Jenkins, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, MongoDB, Natural Language Processing (NLP), Python Programming, RabbitMQ, Random forests, SQL

Job 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:

• 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 or Spark.
• 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 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.
• Bachelor’s degree in computer science, Mathematics, Information Systems or similar field.