Enterprise Applied AI Solution Specialist

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, challenging the norm, and pushing for better while celebrating the wins along the way. Here, you’ll get real flexibility, benefits you can count on, and a team that succeeds together.

About The Team

You’ll join a collaborative Product & Engineering organization focused on building practical AI solutions that drive measurable improvements in internal workflows and employee productivity. The team values innovation, rapid iteration, and partnership with business stakeholders.

About The Role

The Enterprise Applied AI Solution Specialist is a hands-on engineer responsible for building and deploying AI-powered features that improve internal workflows and employee productivity. You will partner with business stakeholders to translate requirements into reliable capabilities, operate within enterprise constraints, and continuously improve solution quality through feedback and measurement.

Responsibilities

• Applied Solution Delivery & Iteration (65%)
  • Build and enhance AI-powered features (e.g., copilots, summarization, classification, routing, Q&A) aligned to defined business workflows.
  • Partner with business users to clarify requirements, run demos, capture feedback, and iterate toward measurable outcomes.
  • Support pilot launches, troubleshoot issues, and contribute to smooth adoption through user training and clear documentation.
• Knowledge-Based Agents & Conversational Design (25%)
  • Develop agents grounded in the company’s internal knowledge base, using Retrieval-Augmented Generation (RAG) patterns and retrieval quality improvements.
  • Design conversational flows for internal functions (e.g., HR helpdesk), including intent handling, escalation paths, and handoff to human support when needed.
  • Implement simple agentic or predictive models for operational use cases (e.g., predicting customer support ticket volume) under guidance from senior engineers.
• Product Execution, Quality & Documentation (10%)
  • Manage the feature backlog for an AI product area: write user stories, define acceptance criteria, and coordinate UAT.
  • Contribute to evaluation and regression testing using approved checklists; help monitor quality, latency, and cost for deployed features.
  • Create and maintain documentation (how-to guides, runbooks, and user enablement materials) to support long-term sustainability.

Qualifications

• 3+ years of experience in software engineering or applied solutions development (or equivalent practical experience).
• Proficiency in Python and API-based integration; working knowledge of SQL and data access patterns.
• Working familiarity with large language models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
• Exposure to agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar) and the ability to implement tool/function calling patterns.
• Basic understanding of enterprise security, privacy, and data governance requirements; ability to follow established guardrails and escalate risks early.
• Strong communication skills and the ability to collaborate effectively with technical and business stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Skills

• Builders Over Theorists: You enjoy shipping working software and iterating based on user feedback.
• User-Centered Mindset: You like sitting with users, mapping workflows, and improving day-to-day productivity.
• Pragmatic Technologist: You choose simple, reliable approaches and adopt new techniques when they clearly improve outcomes.
• Quality-Driven: You care about correctness, safety, and operational reliability, and you follow established production standards.
• Continuous Learner: You stay current on rapidly evolving GenAI capabilities and apply them responsibly.
• Generous Collaborator: You document clearly, communicate proactively, and work well across teams.

What Success Looks Like

• First 6 Months: Deliver 1-2 AI features or agents to pilot or production with clear user feedback, basic evaluation coverage, and documentation.
• First Year: Own a small AI product area end-to-end (backlog, iterations, releases). Ship multiple improvements that increase adoption and reduce manual effort while maintaining enterprise standards.
• Ongoing Success: Deployed solutions sustain strong adoption and quality remains stable through regression testing and monitoring.

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.

Pay

The pay range for this position is $90,900.00 to $130,700.00. The actual base pay offered may vary depending on skills, experience, job-related knowledge, and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.

Benefits

Learn more about UKG’s benefits and rewards at ukg.com/about-us/careers/benefits.