Pearson, Durham, North Carolina
sit with the people doing the work, learn their domain, and build agents into their real workflows.
then iterate with users in the loop until the agent earns a permanent place in their day.
deployment, and the outcome once it is live.
one another over agent-to-agent protocols, and hand work back to people at the right moment.
streaming UI, human-in-the-loop review, voice and speech-to-speech interaction, and multimodal input.
LangGraph, Deep Agents, CrewAI, Google’s Agent Development Kit, the Microsoft Agent Framework, and the OpenAI, Claude and Vercel AI SDKs — and choose the right tool for each problem.
before users do.
observability and reliability.
systems that hold up under real-world use.
into production what is ready for it.
Code, Cursor, Codex and Antigravity with strong review and testing discipline.
platform capabilities the rest of AgentOps can build on.
it.
domain, and shipping into their real workflows.
frameworks by building with them.
do their best, most human work.
production.
React, Next.js, Node and Python — with sound architecture and system-design judgment.
LangGraph, Deep Agents, CrewAI, Google’s Agent Development Kit, the Microsoft Agent Framework, the OpenAI or Claude Agent SDKs, the Vercel AI SDK or equivalents — and a clear view of the trade-offs between them.
with AG-UI, A2UI, CopilotKit or similar, and human-in-the-loop interaction patterns.
coordination, and the evals and guardrails that keep them reliable.
realtime audio and vision — and judgment on where they add value in a product.
and design evals and guardrails from what the evidence shows.
Codex or Antigravity, with the engineering judgment and review discipline to match.
scope tightly, and communicate credibly with both engineers and senior stakeholders.
observability and reliability on an organizational scale.
databases and data engineering pipelines.
up — genuinely zero-to-one work.
service of learners worldwide.
senior technology leadership.
Why Pearson?
At Pearson, we don’t just build careers—we accelerate them. Known for our strong culture of internal mobility and leadership development, we offer a clear path to broader strategic and executive roles. This position provides visibility into the Chief Technology Office, with direct engagement with the CTO and the Technology Leadership Team—giving you a seat at the table where decisions shape the future.
We believe great work deserves great rewards. That’s why we offer some of the most competitive benefits in the industry—designed to support the diverse needs of our people and their families. Explore our Benefits [https://pearsonbenefitsglobal.com/].
At Pearson, we’re reimagining learning through technology. If you're a tech visionary who thrives in complexity, leads with purpose, and is excited by the challenge of enabling AI at scale to drive real-world impact— we’d love to hear from you.
Compensation at Pearson is influenced by factors including skill set, experience, and location.
The full-time salary range for this role is $95,000 – $160,000.
This position is eligible to participate in an annual incentive program. Information on benefits can be found here [https://pearsonbenefitsglobal.com/].
Applications will be accepted through 13th November 2026. This window may be extended depending on business needs.
Apply today and imagine the impact you can make.
Description: In this role, you’ll own the agentic solutions that reinvent how Pearson works. The role aligns to industry level titles such as "Forward Deployment Agent Engineer" or "AI Agentic Engineer"
Drive the future of how Pearson works as part of the AgentOps team in the Office of the CTO (OCTO). Inspire innovation. Empower learning.
Pearson, the world’s leading learning company, is hiring an Senior Software Engineer to join AgentOps — the team on a mission to make Pearson the world’s best symbiotic workforce, where world-class experts and cutting-edge AI agents collaborate and learn together to deliver on Pearson’s promise.
AI is rewiring how the world works – including how people learn and how the work of learning gets done. Pearson’s purpose is to help people realize the life they imagine through learning, and delivering on that promise at global scale depends on freeing our experts to do their best, most human work. That’s why AgentOps exists: to build a symbiotic workforce where Pearson’s people and cutting-edge AI agents work side by side — so the company can move faster, serve learners better, and lead this new era rather than react to it.
As a key member of AgentOps at OCTO and Pearson, you will be expected to embody, and role model our leadership dimensions:
Live Our Purpose: You align your values, actions, and goals with Pearson’s mission. You inspire others by articulating a compelling vision, connecting daily work to our broader purpose, and making decisions that reflect a deep understanding of our strategy.
Simplify the Complexity: You navigate ambiguity and distill complexity into clear, actionable plans. You help teams understand how their work contributes to strategic goals, enabling focus, clarity, and effective execution in a dynamic environment.
Carry Our Culture: You foster a culture of customer centricity, high performance, and exceptional collaboration. You lead with integrity, empower others, and build inclusive, high-performing teams that reflect Pearson’s values and behaviors.
Deliver Results: You set ambitious goals and execute with quality, precision, and speed. You hold yourself and others accountable for outcomes, ensuring alignment with strategic priorities and delivering measurable impact for learners and stakeholders.
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Source: the company job board. We last checked this job 4 days ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.
This base pay is below the median for senior software engineering jobs in other US places.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.