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.