Enterprise Applied AI Solution Specialist
Indexed description
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.
**This is a hybrid role. The employee will be expected to work onsite at our Weston, FL or Sunrise, FL office 3 days/week**
- UKG is unable to offer sponsorship for this position**
- 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.
- 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)
- 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.
- 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.
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
UKG participates in E-Verify. View the E-Verify posters here.
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].
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. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
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