Mgr. Software Engineering-AI

2 days ago Be among the first 25 applicants

At UKG, the work you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

As an Engineering Manager in the AI team, you will lead and mentor a team of 10+ software engineers working on a wide range of AI/ML/GenAI-driven initiatives. You will be responsible for the end-to-end delivery of AI solutions, guiding your team through the full software and machine learning lifecycle, from ideation and design to deployment and continuous improvement. In this hands‑on leadership role, you will collaborate closely with engineering leaders, data scientists, product managers, and other stakeholders to deliver high‑quality AI applications that power our products and services.

• Leadership and Mentorship: Lead, mentor, and develop a team of 10+ AI/ML software engineers, fostering a culture of growth, collaboration, and technical excellence. Ensure high performance by providing regular feedback, coaching, and career development opportunities.
• AI/GenAI Architecture And Delivery: Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high‑quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes.
• Cross‑Functional
  
  Collaboration:
  
  Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross‑functional teams to break down complex engineering tasks and drive the execution of the AI roadmap.
• Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand‑ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high‑quality AI solutions.
• Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud‑based AI/ML solutions to ensure the delivery of secure, scalable AI applications.
• Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company’s thought leadership in AI.
• Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non‑technical leadership and product teams.

• Experience: 7–10 years of experience in software engineering, with at least 2–4 years in a leadership or management role overseeing AI or machine learning teams.
• Proven Track Record: Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast‑paced, dynamic environments.
• Technical
  
  Skills:
  
  Proficient in Python and ML frameworks such as PyTorch or Tensor Flow. Strong experience with AI, machine learning, and deep learning technologies. Solid understanding of the software development lifecycle, object‑oriented programming, concurrency, design patterns, RESTful services, and microservice architecture.
• AI Tools & Cloud Technologies:
  
  Experience with cloud platforms (AWS, Google Cloud, Azure) with a focus on AI/ML deployment (e.g., Vertex
  
  AI, GKE, Big Query, Kubeflow, Tensor Flow Serving). Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, Git Hub Actions, Concourse).
• Leadership &
  
  Collaboration:
  
  Strong people management and leadership skills,…