Sr. Staff Software Engineer (Agentic AI)

UKG•Lowell, MA

11h

About The Position

We are seeking an exceptional Principal Software Engineer to define and drive our enterprise-wide agentic AI strategy on Google's Agent Development Kit (ADK) and other agentic platforms. You will shape the future of intelligent automation across UKG's product portfolio, influence technical direction across multiple engineering organizations, and establish UKG as a thought leader in enterprise agentic AI. As a Sr. Staff Engineer, you will set technical vision, architect organization-wide systems, drive transformational change, and elevate engineering excellence company-wide.

Requirements

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 skills, systems thinking, and ability to navigate complex technical and organizational challenges.
Outstanding leadership, communication, and influence skills. Ability to drive technical decisions across senior stakeholders and executive audiences.
Demonstrated track record of mentoring senior engineers and raising the technical bar across organizations.

Responsibilities

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.
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.
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.
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. Demonstrate engineering excellence through industry-leading implementations.
Stay at the forefront of agentic AI research. Evaluate emerging platforms and techniques. Prototype breakthrough capabilities. Drive adoption of transformative technologies. Contribute to industry knowledge through publications, open source, or conference presentations.
Establish organization-wide frameworks for agent safety, governance, and responsible AI. Design policy engines and guardrail architectures that scale across all systems. Influence company-wide AI safety policy and regulatory compliance standards.
Design integrations between agents and UKG's entire enterprise ecosystem. Build strategic tools, APIs, and MCP servers that unlock capabilities across products. Define integration patterns that scale across teams and product lines.
Define service health, quality, and operational standards for all agentic systems. Establish monitoring, observability, and incident response frameworks. Set the bar for production excellence, reliability, and cost efficiency.
Mentor senior engineers, lead engineers, and engineering managers. Raise the technical bar through code reviews, design reviews, and architectural guidance. Build the next generation of technical leaders. Recognized as go-to expert and trusted advisor.
Represent UKG externally as a technical expert. Publish articles, present at conferences, contribute to open source, and engage with the AI engineering community. Establish UKG's technical reputation and attract top talent.
Engage with technology partners (Google, Anthropic) to influence platform roadmaps. Represent UKG in technical advisory relationships. Leverage partnerships to drive internal innovation.