Senior Manager, AI Engineering

Overview

Senior Manager, AI Engineering to lead the technical strategy and execution for AI/ML initiatives in Anaplan’s intelligent planning solutions.

What you’ll do

• Lead, mentor, and grow a team of AI/ML engineers.
• Define and execute the roadmap for AI/ML projects aligned to business and product strategy.
• Architect and oversee scalable, production-grade AI systems on AWS, Azure, and GCP.
• Drive best practices across the ML lifecycle, including MLOps, CI/CD for ML, monitoring, and governance.
• Collaborate with product managers and data scientists to translate business requirements into technical solutions.
• Integrate advances in AI/ML, including LLMs and agentic AI, to identify and implement new opportunities.
• Manage project timelines, resources, and stakeholder communication to deliver high-quality AI solutions on time.

What you’ll need

• Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
• Deep expertise in time series forecasting and machine learning.
• Experience architecting and deploying production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Experience with agentic frameworks and autonomous agent architectures.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).

Nice to have

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• Experience with large-scale data processing frameworks like Spark.
• Familiarity with applying AI in enterprise planning or financial domains.
• A portfolio of published research or contributions to open-source AI projects.

Details

• Required experience: 10 years+.