Senior Principal AI/ML Engineer

Posted 2 Days Ago
Be an Early Applicant
Ottawa, ON
7+ Years Experience
Information Technology
The Role
Seeking a Senior Principal AI/ML Engineer at Anaplan in Ottawa, Canada to design and implement AI/ML enabled Anaplan Platform, collaborate with global teams, develop machine learning solutions, mentor team members, and contribute to patent generation.
Summary Generated by Built In

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.

This role will require you to be in our Ottawa office two days a week. 

Your Impact:

  • Play a key technical leadership role in designing and implementing the next generation AI/ML enabled Anaplan Platform
  • Design and implement new interactive AI capabilities on highly scalable distributed systems and shared services infrastructure in a hybrid cloud environment using Java11, Kotlin, Rust, Kubernetes, and Docker.
  • Collaborate with global teams to build and deliver machine learning solutions into the Anaplan platform
  • Develop and deploy machine learning models focused on Generative AI and Large Language Models
  • Design and build retrieval-augmented generation systems to improve search and recommendation functionalities
  • Use data-driven approaches to measure the quality of our platform and be a strong enthusiast for security and observability.
  • Implement code to the desired specification following the standard methodologies, including tests (TDD) and documentation.
  • Serving as a senior team member and ensuring architecture and design is at its best.
  • Mentor engineering team members.
  • Contribute intellectual property through patent generation.
  • Apply your judgment to determine what to defer and what problem needs to be solved now, taking a pragmatic, business-oriented approach to evolving solutions over time.
  • Influence infrastructure architecture by sharing your expertise.

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)

Technologies you'll work with:

  • Programming languages: Java11, Kotlin, Rust, Python
  • Persistence: MySQL, CRDB, Redis, S3, NFS, NetApp OnTAP
  • Experience with Big Data, Spark, Kafka, Jupyter Notebooks
  • Container and Orchestration: Kubernetes/Docker, Helm
  • Event Driven Architecture: Kafka, RabbitMQ
  • Public cloud: AWS, GCP, Azure
  • CI/CD/Build/Deploy: GitHub, Gradle, Maven, Jenkins, Harness, Artifactory
  • Telemetry: Grafana, Loki, Prometheus

#LP-SP1

Our Commitment to Diversity, Equity, Inclusionand Belonging 

Build your career in a place that thrives on diversity, equity, inclusion, and belonging. 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! 

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. 

Fraud Recruitment Disclaimer

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.

Anaplan does not: 

  • 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.
  • 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. 

ll emails from Anaplan would come from an @anaplan.com 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 [email protected] before taking any further action in relation to the correspondence.  

Top Skills

Java
Python
Rust
The Company
HQ: San Francisco, CA
2,194 Employees
On-site Workplace
Year Founded: 2006

What We Do

Anaplan is building a future where connected leaders and teams are able to constantly adapt, transform and reinvent their businesses. We make it possible to share actionable insights, empower and unleash creativity, and drive innovation. With Anaplan, finance and operational leaders across the organization can model complex scenarios, forecast continuously with added intelligence, and make agile decisions with confidence.

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