Principal AI Engineer
2 months ago
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
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. p>
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.
- 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.
- Serve as a senior team member and ensure architecture and design is at its best.
- Mentor engineering team members.
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.
- Distributed Systems and programming techniques.
- Monitoring and metrics infrastructure (Grafana, Loki, Prometheus, Splunk, SignalFx).
- Experience with the design, implementation, and deployment of scalable API services based on a micro-services architecture.
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