Sr Enterprise Solutions Engineer

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.

Senior Enterprise AI Strategy Specialist
Core Mission
The Senior Enterprise Applied Agent Builder owns the end-to-end delivery of complex AI services and Generative AI features that automate or augment critical enterprise workflows. The role combines strong software engineering execution with multi-step agent design, human-centered product thinking, and production operations discipline.
This individual leads solution design from discovery to deployment, integrates AI capabilities into enterprise platforms, and establishes measurable quality and adoption outcomes. They also mentor junior engineers and contribute reusable patterns that help the organization ship agentic solutions more consistently.
Key Responsibilities
This is a hybrid role blending hands-on delivery with technical ownership, evaluation rigor, and cross-functional leadership.
1. End-to-End Ownership of Complex AI Services (55% of time)
• Own the development of a complex AI service or GenAI feature, delivering from concept through production rollout and ongoing iteration.
• Translate ambiguous business requirements into concrete user stories, acceptance criteria, and technical implementation plans.
• Integrate agentic solutions with enterprise systems (e.g., CRMs, ERPs, HR platforms, data warehouses, internal APIs) and ensure production-grade performance through rapid iteration and troubleshooting.
• Lead pilot launches and transitions, including documentation, user enablement, and stakeholder alignment.
2. Multi-Step Agent Architecture, Evaluation & Operations (30% of time)
• Lead the design and implementation of multi-step agents, including tool/function calling, retrieval, state management, and human-in-the-loop oversight where required.
• Develop evaluation approaches (test suites, golden datasets, regression checks) and optimize solutions for accuracy, latency, reliability, and cost.
• Implement production observability (logging, tracing, monitoring) and contribute to runbooks and incident response processes for AI services.

3. Reusable Patterns, Standards & Mentorship (15% of time)
• Extract successful patterns from delivery work to create reusable libraries, templates, and reference implementations for other teams.
• Lead technical reviews and share best practices for secure, reliable, and user-trustworthy agentic systems.
• Mentor and coach P1-P2 engineers through code reviews, design reviews, and day-to-day execution.