More jobs:
Sr. Software Engineer; Agentic AI
Job in
Lowell, Middlesex County, Massachusetts, 01856, USA
Listed on 2026-06-02
Listing for:
Fairygodboss
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Systems Engineer
Job Description & How to Apply Below
Sr. Staff Software Engineer - Agentic Acceleration Group
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.
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. Demonstrate engineering excellence through industry-leading implementations. - Innovation & Research:
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. - Agent Safety & Governance:
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. - Platform Integration:
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. - Service Excellence:
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. - Mentorship & Talent Development:
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. - Thought Leadership:
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. - Strategic Partnerships:
Engage with technology partners (Google, Anthropic) to influence platform roadmaps. Represent UKG in technical advisory relationships. Leverage partnerships to drive internal innovation.
- 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 Type Script, with track record of setting coding standards and best practices.
- Proven experience architecting and building production agents using Google ADK, Anthropic Claude SDK, Lang Chain, Lang Graph, 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 Dev Ops 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…
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