Senior AI Solutions Engineer remote

Senior AI Solutions Engineer (Open to remote)

The Data Science team at Penguin Random House is seeking a Senior AI Solutions Engineer to provide technical leadership and architectural direction for AI‑powered marketing and discovery platforms. At the senior level, this role goes beyond delivering individual solutions. You will define technical roadmaps, design durable multi‑team systems, and ensure AI applications scale reliably across products and workflows. You will partner closely with senior stakeholders to translate business goals into long‑term technical strategy while remaining hands‑on enough to guide critical implementations and unblock teams.

• Propose, design, and deliver AI systems and architectures aligned with long‑term marketing and discovery roadmaps.
• Define and evolve reusable LLM‑based application patterns (e.g., RAG architectures, evaluation strategies, retrieval systems) that can be shared across teams.
• Ensure AI solutions are robust, observable, and adaptable as business needs and AI capabilities evolve.
• Lead development of end‑to‑end software systems spanning APIs, automation pipelines, internal tools, front‑end applications, and cloud infrastructure.
• Establish engineering standards and shared platforms that enable teams to safely and effectively leverage AI capabilities.
• Ensure AI systems are reliable, observable, and cost‑effective in production, and resolve cross‑team operational issues as they arise.
• Define technical roadmaps aligned with business priorities and guide teams on model selection, system design, and technical trade‑offs.
• Partner with Product, Marketing, and senior leaders to assess feasibility, align on strategy, and communicate progress.
• Increase organizational efficiency by reducing duplicated effort through shared AI platforms and standardized engineering processes.
• Promote a collaborative, high‑performing technical environment through strong architectural guidance, documentation, and best practices.
• Mentor engineers and data scientists, influencing technical direction beyond immediate projects and contributing to the overall maturity of the Data Science organization.

• 8–12+ years of experience in software engineering, machine learning engineering, or full‑stack development, with demonstrated progression into technical leadership roles.
• Proven track record of designing and delivering production systems used by multiple teams or products over long time horizons.
• Expert proficiency in Python, with strong experience designing APIs, automation frameworks, and backend services.
• Significant experience building internal platforms or tools using modern front‑end frameworks (React, Next.js, or similar).
• Hands‑on experience with LLMs and modern AI tooling, including embeddings, vector databases, RAG pipelines, and evaluation workflows.
• Strong architectural judgment with the ability to balance speed, reliability, cost, and long‑term maintainability.
• Demonstrated ability to lead without authority, influence roadmap decisions, and operate effectively in ambiguous problem spaces.

• Experience with search, discovery, metadata systems, or relevance optimization.
• Background in consumer‑facing AI platforms.
• Familiarity with experimentation frameworks and measurement of business impact.
• Prior experience operating explicitly at a Staff or equivalent level, supporting multiple teams or domains.
• Master’s degree or higher in Computer Science, Engineering, Data Science, or a related field.

$160,000 – $210,000. All positions are currently eligible for annual profit award or bonus, subject to company results.

• Medical, prescription drug, dental, vision, and dependent‑care insurance.
• Flexible Spending Account, Health Savings Account.
• Pre‑Tax and Roth 401(k) with company match.
• Short‑ and long‑term disability insurance, life/AD&D insurance.
• Commuter benefits, student‑loan repayment program, and generous paid time off.

Apply by February 10th, 2026.

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.