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Director, AI Engineering
Director, AI Engineering
Anaplan is seeking a visionary Director of AI Engineering to lead and mentor a high-performing team in building next-generation intelligent planning solutions. This role involves driving the technical strategy for AI/ML initiatives, architecting scalable AI systems on cloud platforms, and integrating cutting-edge AI like time series forecasting, generative, and agentic AI into the market-leading platform. The Director will define roadmaps, ensure best practices for the machine learning lifecycle, and collaborate closely with product and data science teams to deliver impactful AI solutions.
About the role
About the Role
Anaplan is seeking a visionary Director for AI Engineering to lead a talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into Anaplan’s market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- 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 scalable, 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).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
- 15+ Years of Experience.
Preferred Qualifications
- 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 the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.