Lead AI Engineer

nds-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.

Key Responsibilities

AI Solution Design & Development

• 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

Enterprise Platform Integration

• 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)

AI Architecture, Governance & Quality

• 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)

Collaboration & Delivery

• 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

Required Qualifications

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/TypeScript, 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

Preferred Qualifications

• 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

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. Learn more at ukg.com.

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 $129,500 to $186,100. 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://https://www.ukg.com/about-us/careers/benefits