Principal Software Engineer - Platform & AI Enablement

<div class="content-intro"><p>At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.</p> <p>What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.</p> <p style="padding-left: 40px;">Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.</p> <p style="padding-left: 40px;">Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating<em> </em>our wins – big and small.</p> <p>Supported by operating principles of being strategy-led, <a href="https://www.anaplan.com/careers/">values</a>-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!</p></div><p><strong>Team Description</strong></p> <p>As part of the Platform & AI Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering API. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. This is a hands-on role for a deeply experienced engineer who thrives on solving complex problems and scaling robust platforms.</p> <p><strong>Your Impact</strong></p> <ul> <li>Influence the design and implementation of platform capabilities for data processing, AI enablement, and developer acceleration across batch, streaming, and real-time systems.</li> <li>Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns.</li> <li>Guide teams in integrating AI/ML capabilities—including prompt-based LLM use cases, model inference, and feature pipelines—into scalable platform services.</li> <li>Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals.</li> <li>Provide thought leadership across the fullstack (React, Java, Python), promoting clean, efficient, and maintainable code.</li> <li>Identify and drive opportunities for innovation—whether in development tooling, performance optimization, or new platform features.</li> <li>Act as a mentor to engineers across teams, elevating technical standards through code review, design input, and informal leadership.</li> <li>Participate in incident retrospectives, technical spike planning, and future-looking strategy discussions.</li> <li>Help teams balance speed and sustainability—delivering under tight deadlines without compromising quality.</li> </ul> <p><strong>Your Qualifications</strong></p> <ul> <li>Extensive background of software engineering experience, ideally in platform, infrastructure, or data-centric product development.</li> <li>Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar.</li> <li>Deep understanding of event-driven architectures, data lakes, and streaming pipelines.</li> <li>Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs.</li> <li>Polyglot development capability, with hands-on experience in Java, Pyt ... (truncated, view full listing at source)