Sr. Staff Software Engineer (Agentic AI)

Job summary

Job description Company and benefits Job ID SRSTA019372 Employment Type Regular Work Style hybrid Location Seattle,WA,United States Role Sr. Staff Software Engineer (Agentic AI) Why UKG***: 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.

Benefits

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 10+ years of professional software development experience, with 3+ years building agentic AI systems or LLM-powered applications in production at scale.
• Deep expertise in Python, Java, C#, JavaScript, or TypeScript, with track record of setting coding standards and best practices.
• Proven experience architecting and building production agents using Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar platforms.
• Expert-level understanding of prompt engineering, context engineering, and advanced agent design patterns (ReAct, Chain-of-Thought, constitutional AI, multi-agent collaboration).
• Track record of influencing technical direction across multiple teams or organizations.
• Demonstrated ability to set architectural standards and drive adoption.
• Proven ability to lead highly complex, cross-functional initiatives with significant business impact.
• Deep expertise with GCP (Vertex AI, Google ADK), Azure (Azure OpenAI), or AWS (Bedrock), and modern DevOps practices.
• Exceptional problem-solving
• required for the job.
• Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.

Responsibilities

• Strategic Technical Leadership: Define enterprise-wide technical strategy for agentic AI across UKG***.
• Set long-term vision for how agents transform UKG***'s HCM platform.
• Influence product roadmaps and business strategy through technical insight.
• Drive division-level or company-level objectives.
• Enterprise Architecture: Architect organization-wide agentic AI capabilities on Google ADK and other platforms.
• Design foundational frameworks, orchestration patterns, and platform capabilities that serve multiple product teams.
• Set architectural standards and best practices for agent development across the organization.
• Cross-Organizational Influence: Drive technical decisions across multiple teams and divisions.
• Set standards for agent development, tool design, safety frameworks, and operational excellence.
• Shape engineering culture and technical direction at scale.
• Advanced Agent Systems: Pioneer sophisticated multi-agent architectures including hierarchical systems, swarm intelligence, adversarial networks, and hybrid human-agent workflows.
• Push boundaries of what's possible with agent orchestration.

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