Sr. Staff Software Engineer (Agentic AI)

UKG • Lowell, MA

11h • $145,600 - $209,300

About The Position

UKG is seeking a senior technical leader for its Agentic Acceleration Group to define and advance enterprise-wide agentic AI strategy using Google Agent Development Kit (ADK) and other platforms. The role shapes intelligent automation across UKG’s product portfolio, sets technical vision, architects systems for use across the organization, drives transformational change, and elevates engineering excellence.

The position leads the design of foundational agent frameworks, orchestration patterns, integrations, safety and governance systems, and service standards. It also advances complex multi-agent architectures, evaluates and prototypes emerging technologies, influences engineering and product direction across teams, and develops senior technical talent. The role represents UKG externally through industry engagement and works with technology partners to help influence platform roadmaps.

The posting states that UKG is unable to offer sponsorship for this position. The salary range is $145,600–$209,300 in base pay; actual pay may vary by skills, experience, job-related knowledge, and work location. Employees may also be eligible for a performance-based bonus and restricted stock unit awards.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 10 or more years of professional software development experience.
• 3 or more years building agentic AI systems or LLM-powered applications in production at scale.
• Deep expertise in Python, Java, C#, JavaScript, or TypeScript, with a record of setting coding standards and best practices.
• 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, including ReAct, Chain-of-Thought, constitutional AI, and multi-agent collaboration.
• Track record of influencing technical direction across multiple teams or organizations, setting architectural standards, and driving adoption.
• 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 and systems-thinking skills, including the ability to navigate complex technical and organizational challenges.
• Outstanding leadership, communication, and influence skills, including the ability to drive technical decisions with 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 and long-term vision for agentic AI across UKG, and influence product roadmaps and business strategy.
• Architect organization-wide agentic AI capabilities using Google ADK and other platforms, including foundational frameworks, orchestration patterns, and platform capabilities.
• Set architectural standards and best practices for agent development across the organization.
• Drive technical decisions across teams and divisions; establish standards for agent development, tool design, safety frameworks, and operational excellence.
• Develop advanced multi-agent architectures, including hierarchical systems, swarm intelligence, adversarial networks, and hybrid human-agent workflows.
• Evaluate emerging agentic AI platforms and techniques, prototype new capabilities, and drive adoption of transformative technologies.
• Establish organization-wide frameworks for agent safety, governance, and responsible AI, including policy engines, guardrails, and support for regulatory compliance.
• Design integrations between agents and UKG’s enterprise ecosystem; build strategic tools, APIs, and MCP servers, and define scalable integration patterns.
• Define service health, quality, and operational standards for agentic systems, including monitoring, observability, incident response, reliability, and cost efficiency.
• Mentor senior engineers, lead engineers, and engineering managers through code reviews, design reviews, and architectural guidance.
• Represent UKG externally through publications, conference presentations, open-source contributions, and engagement with the AI engineering community.
• Engage with technology partners such as Google and Anthropic to influence platform roadmaps and advance internal innovation.

Benefits

• Performance-based bonus plan eligibility
• Restricted stock unit awards may be included in total compensation
• UKG states that it offers benefits and rewards; specific benefits are not listed in the posting

What This Job Offers

• Job Type: Full-time
• Career Level: Senior