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Why UKG:

At UKG, the work you do matters. The code 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.

About the Role

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.

Responsibilities

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.

Qualifications

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 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 TensorFlow.

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 and Cloud Technologies:

Experience with cloud platforms (AWS, Google Cloud, Azure) with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving).

Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, GitHub Actions, Concourse).

Leadership and Collaboration:

Strong people management and leadership skills, with experience leading cross-functional teams.

Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives.

Agile Experience:

Strong understanding of agile methodologies, with experience leading teams in an agile environment.

Knowledge of best practices for managing sprints, tasks, and project timelines.

Communication skills:

Excellent verbal and written communication skills.

Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization.

Preferred Qualifications

Experience working with large language models (LLMs) or fine-tuning open-source models like GPT.

Familiarity with modern AI development tools such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines.

Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security.

Education:

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

Ph.D. is a plus.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC\_KnowYourRights\_screen\_reader\_10\_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [email protected] .

Pay Transparency:

The pay range for this position is $129,500 to $186,100, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG’s comprehensive benefits can be reviewed on our careers site at https://www.ukg.com/about-us/careers/benefits

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.