Senior Principal AI/ML Engineer

at  Anaplan

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
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 that rely on our best-in-class platform.
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 have fun celebrating our wins.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and be your best self!
At Anaplan, we are looking for a strong Senior Principal AI/ML Engineer to join our team in Ottawa, Canada, as a member of a global engineering organization across the US, UK, Israel, and India.
Are you a creative problem solver who can both give and receive feedback? Do you lead with inclusion, collaboration, and openness? Do you have strong experience with high-scale B2B and B2C platforms?
As a Senior Principal Platform Engineer, you’ll be crafting and helping build the next generation AI/ML driven Anaplan Platform. You have proven and relevant experience in Artificial Intelligence and Machine Learning, using LLM, prompt engineering, and RAG to deliver bots and augmented AI virtual assistant software products to build state-of-the-art software platforms of the future. You’re comfortable with full-stack systems design for the hybrid cloud and hands-on distributed systems programming with extensive knowledge of Java, JVM, Python, Rust, Linux internals, and container orchestration.
This role is an immediate full-time position. If you’re ready to roll up your sleeves and seek unique problems that no one is solving in the tech space yet, keep reading.

YOUR QUALIFICATIONS:

• BS degree in Computer Science, related technical field, or equivalent practical experience as a professional Platform Engineer.
• 12+ years of professional experience as a Software Engineer, working on AI and ML infused Backend and Platform Engineering, data science, predictive and forecasting analytics
• Proven and extensive experience with AI, Machine Learning, Deep Learning, Linear Regression, Conversational AI, bots, Natural Language Processing, LLM, prompt engineering, RAG
• Proven experience in building and maintaining a SaaS product at scale
• Experience with cloud storage S3, NFS, NetApp OnTap, Cohesity
• Containers and container-orchestration tools like Docker and Kubernetes.
• Distributed Systems and programming techniques.
• Monitoring and metrics infrastructure (Grafana, Loki, Prometheus, Splunk, SignalFx).
• Public Cloud (e.g., AWS / GCP/ Azure).
• Experience with the design, implementation, and deployment of scalable API services based on a micro-services architecture
• Knowledge or experience with messaging systems such as Kafka, AMQP (RabbitMQ), ZeroMQ
• Experience working with containers and container-orchestration tools like Docker and Kubernetes
• Experience with Public Cloud (e.g., AWS / GCP/ Azure) Database management systems (SQL, noSQL)