Note: The job is a remote job and is open to candidates in USA. UKG is the Workforce Operating Platform that puts workforce understanding to work. They are seeking an experienced AI Engineer to design, build, and scale AI‑driven solutions that integrate with enterprise platforms. The role involves collaborating with various stakeholders to translate business use cases into production‑ready AI solutions.
Responsibilities
- 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, LangChain, 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
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/TypeScript, Java, or C#
- Experience with REST APIs, event‑based integrations, and microservices
- Familiarity with cloud platforms (Azure, GCP, or AWS)
- 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 Salesforce Apex, Flow, Platform Events, or Salesforce APIs
- Experience implementing AI governance frameworks or model risk controls
- Exposure to CI/CD pipelines for AI and backend services
- Familiarity with LLM evaluation frameworks, test automation, or AI monitoring tools
- Prior experience delivering AI solutions in regulated or large enterprise environments
- Experience working with global, distributed teams
Benefits
- Employees may be eligible to participate in a performance-based bonus plan
- Receive restricted stock unit awards as part of total compensation
- Flexibility that’s real
- Benefits you can count on
- Hybrid workLocationOption
Company Overview