Principal Architect AI

<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>Role Overview</strong></p> <p>We're hiring a Principal AI Architect to design and architect next-generation AI solutions that transform how enterprises plan and make decisions. You'll lead the architecture for GenAI and Agentic AI systems at Anaplan, working at the intersection of cutting-edge AI capabilities and enterprise business planning workflows.</p> <p><strong>Your Impact</strong></p> <ul> <li>Design and architect GenAI and conversational AI solutions that integrate seamlessly with Anaplan's planning platform, enabling natural language interaction and manipulation of complex dimensions, hierarchies, and business planning models.</li> <li>Develop architecture patterns and technical specifications for agentic systems and agent-to-agent (A2A) communication frameworks, allowing autonomous planning agents to collaborate, reason, and execute multi-step workflows.</li> <li>Design prompt engineering frameworks and best practices that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases.</li> <li>Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features.</li> <li>Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability.</li> <li>Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutions.</li> <li>Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures.</li> <li>Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring, and optimisation mechanisms.</li> </ul> <p><strong>Your Skills</strong></p> <ul> <li>Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems.</li> <li>Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making frameworks.</li> <li>Highly proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack).</li> <li>A proven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise-grade AI solutions at scale.</li> <li>Excellent communication skills with a natural ability to translate complex technical architectures and AI concepts into clear insights for diverse engineering and business stakeholders.</li> </ul> <p><strong>Desirable</strong></p> <ul> <li>Knowledge of Model Context Protocol (MCP) and agent communication standards</li> <li>Experience with vector databases, RAG architectures, and semantic search systems</li> <li>Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services</li> <li>Experience in SaaS or enterprise software companies</li> </ul><div class="content-conclusion"><p><strong>Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) </strong></p> <p>We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! </p> <p>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. &nbsp;</p> <p><strong>Fraud Recruitment Disclaimer</strong> &nbsp;</p> <p>It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  </p> <p>Anaplan does not: &nbsp;</p> <ul> <li>Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  &nbsp;</li> <li>Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. &nbsp;</li> </ul> <p>All emails from Anaplan would come from an ----- email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to ----- before taking any further action in relation to the correspondence.  &nbsp;</p> <p><strong><span class="NormalTextRun SCXW36347262 BCX0">Privacy &amp; AI</span><span class="NormalTextRun SCXW36347262 BCX0"> Notice</span></strong></p> <p><span class="NormalTextRun SCXW238761408 BCX0">C</span><span class="NormalTextRun SCXW238761408 BCX0">andidate data processed during our recruitment activities is handled </span><span class="NormalTextRun SCXW238761408 BCX0">in accordance with</span><span class="NormalTextRun SCXW238761408 BCX0"> our <a href="https://www.anaplan.com/legal/candidate-privacy-notice/">Candidate Privacy Notice</a>. This may include the use of artificial intelligence or automated tools to </span><span class="NormalTextRun SCXW238761408 BCX0">assist</span><span class="NormalTextRun SCXW238761408 BCX0"> our team in evaluating qualifications.</span></p> <p>&nbsp;</p></div>

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