About this role
Job Title: Principal Software Engineer, AI Innovation Career Architecture Role: Software Engineer Career Architecture Tier: E35 (Principal, Expert Track) Job Summary: This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early-stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co-innovating with external partners. You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co-innovate, assess technical feasibility, and drive architecture decisions for high-impact, ambiguous, early-stage projects. Key Responsibilities:
• Partner with internal and external stakeholders to identify, assess, and co-develop AI-driven innovation opportunities.
• Shape and prototype early-stage ideas, taking undefined problems and helping define what gets built.
• Lead technical feasibility reviews and shape architecture for enterprise-scale AI initiatives.
• Decide how projects are executed — whether built internally, handed off to partners, or scaled through dedicated delivery teams — and drive that execution.
• Build and prototype across the full stack, using modern tools and infrastructure.
• Guide multiple engineering squads, ensuring execution of the co-innovation strategy and measurable business impact.
• Collaborate closely with UX and Product to deliver differentiated, cross-functional solutions.
Required Skills and Competencies:
• Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions.
• Full-Stack Engineering, Modern Development Tools (Advanced): Build and prototype end-to-end across frontend, backend, and infrastructure.
• Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance.
• Collaboration, Innovation, Cross-Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions.
• Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast-moving, early-stage environments.
• Learning to Learn, Adaptability, Ethical Responsibility (Effective–Advanced): Embrace new technologies and maintain high ethical standards.
Qualifications (Education & Experience):
• Extensive experience in software engineering and AI innovation, with a broad full-stack skillset.
• Proven track record of working on early-stage or 0→1 products, shaping direction rather than only executing defined requirements.
• Demonstrated ability to thrive in ambiguity and collaborate cross-functionally with UX, Product, and external partners.
• Proven track record in partner co-development and technical delivery.
• Deep expertise in software architecture, cloud, and emerging AI technologies.
• A career history showing adaptability across products or problem spaces.
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