Senior Software Engineer

Drive the future of Agentic AI at Pearson as part of the Agent Ops Engineering team. Inspire innovation. Empower learning.

Pearson, the world’s leading learning company, is hiring a Senior Software Engineer to play a key role on our Agent Ops Engineering team.

Are you passionate about building AI agents that reason, plan, route work, and run reliably in production—not just prototypes? Do you want to shape how an enterprise builds, operates, and governs digital workers at scale? Join our Agent Ops Engineering team and help build the core platform capabilities that power agent crews running across the business.

This is a hands‑on senior engineering role focused on building . You’ll ship the write‑path features that let agents take real actions, design the orchestration and routing patterns that direct work to the right agent, and engineer enhancements to the platform itself—working inside it, not just on top of it. Through this, you’ll help teams across Pearson put dependable AI agents to work, and help people realize the lives they imagine through learning.

• Live Our
  
  Purpose:
  
  You connect your engineering work to Pearson’s mission and make decisions that reflect a clear understanding of our strategy.
• Simplify the Complexity: You navigate ambiguity in a fast‑changing field and distil complex agentic systems into clear, reliable solutions.
• Carry Our Culture: You collaborate generously, mentor through design and code reviews, and contribute to an inclusive, high‑performing team.
• Deliver Results: You set a high‑quality bar, get the details right, and own outcomes that matter to learners and stakeholders.

• Build write‑path features
• Ship the features that let agents take real, governed actions—wrapping enterprise APIs, validators, and data sources so agents can write, not just read.
• Design safe write semantics: idempotency, confirmation and human‑in‑the‑loop gates, structured outputs, and audit‑ready action logging.
• Build multi‑agent and digital‑worker orchestration patterns that let specialized agents delegate, collaborate, and complete multi‑step goals.
• Build stateful, cyclic workflows using modern agent orchestration frameworks—enabling reflection, recovery, and adaptive execution beyond linear chains.
• Build the routing layer that directs requests to the right agent or crew—intent classification, capability‑based dispatch, fallback, and escalation paths.
• Create reusable components for retries, degraded modes, and human handoff; tune agent roles, goals, and prompts using fixtures and golden sets.
• Enhance the platform
• Work hands‑on with the agentic platform—creating, versioning, invoking, and debugging crews, tasks, and graphs through platform APIs—and contribute enhancements back where new patterns are needed.
• Design long‑running, resumable workflows (checkpointing, persistence, context restoration) and resilience patterns for non‑deterministic AI.
• Ship with AI, at quality
• Work primarily through AI‑pair‑programming as your default mode—researching, scaffolding, implementing, reviewing, and shipping at high velocity while holding quality through TDD and rigorous verification.
• Raise the bar
• Drive reusable engineering standards, shared libraries, and reference patterns; mentor engineers through design and code reviews; and share the prompts, skills, and workflows that multiply everyone’s output.

• A hands‑on senior engineer who builds production‑grade agentic systems, not demos.
• An independent owner who takes complex work streams from ambiguity to reliable, shipped software.
• A collaborator who influences through standards and mentoring,…