Lead AI Engineer

AI Engineer

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.

We are seeking an experienced AI Engineer to design, build, and scale AI-driven solutions and autonomous agents that integrate with enterprise platforms such as Salesforce, ERP systems, Microsoft 365/SharePoint, and cloud services. The ideal candidate has hands-on experience delivering real-world AI initiatives, building agent-based workflows using Microsoft Copilot, OpenAI/ChatGPT, Google Agentspace, or similar frameworks, and operationalizing AI within enterprise IT ecosystems.

This role will work closely with engineering, architecture, product, security, and business stakeholders to translate business use cases into production-ready AI solutions with appropriate governance, scalability, and security.

• Design, develop, and deploy AI agents that automate, orchestrate, or augment business workflows across enterprise platforms
• Build agentic workflows using tools such as:
• Microsoft Copilot Studio / Azure OpenAI
• OpenAI (ChatGPT / Assistants / GPT APIs)
• Google Agentspace / Vertex AI
• Lang Chain, Semantic Kernel, or similar orchestration frameworks
• Implement multi-step reasoning, tool calling, retrieval-augmented generation (RAG), and decision logic within AI agents
• Develop APIs and backend services to support AI-driven workflows

• Integrate AI solutions with enterprise systems, including:
• Salesforce (Sales Cloud, Service Cloud, CPQ, Revenue Cloud, custom Apex APIs)
• ERP systems (MS Dynamics 365, or similar)
• Microsoft 365 / SharePoint / Teams
• Data platforms, document repositories, and internal APIs
• Enable secure access to structured and unstructured enterprise data for AI use cases
• Design event-driven or workflow-based AI integrations (e.g., case handling, opportunity lifecycle, billing events)

• Contribute to enterprise AI architecture standards, patterns, and best practices
• Implement prompt management, versioning, and testing strategies
• Ensure AI solutions meet security, privacy, and compliance requirements (PII handling, data residency, access control)
• Apply AI guardrails, validation rules, and safety controls to prevent hallucinations or misuse
• Establish evaluation metrics for AI agents (accuracy, reliability, latency, business impact)

• Partner with product managers, architects, platform teams, and business stakeholders to refine AI use cases
• Document solution designs, integration approaches, and operational runbooks
• Support PoCs, pilots, and production rollouts of AI initiatives
• Provide knowledge transfer and technical guidance to internal teams

Technical Skills

• 8+ years of experience in software engineering, platform integration, or AI/ML solution development
• Hands-on experience building AI solutions using one or more of:
• Microsoft Copilot / Copilot Studio
• OpenAI (ChatGPT, Assistants API)
• Google Agentspace / Vertex AI
• Strong experience with AI agent concepts:
• Prompt engineering
• Tool/function calling
• RAG architectures
• Agent orchestration and workflow chaining
• Proficiency in one or more programming languages:
• Python, JavaScript/Type Script, Java, or C#
• Experience with REST APIs, event-based integrations, and microservices
• Familiarity with cloud platforms (Azure, GCP, or AWS)

Enterprise & Platform Experience

• Hands-on integration experience with at least one major enterprise platform:
• Salesforce
• ERP systems (MS Dynamics 365, etc.)
• Microsoft 365 / SharePoint / Teams
• Strong understanding of enterprise security, authentication (OAuth, SSO), and role-based access control
• Experience working with enterprise data models and large-scale production systems

• Experience with…