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Senior Manager, AI Engineering
Anaplan
naukri
Gurugram
15-20 years
Not Disclosed
Full time
01 May 2026
Top Skills:
Business PlanningRecruitmentOpen SourceForecastingAdobeMonitoringComputer ScienceData ProcessingStakeholder ManagementAgileAgileAiAwsAzureBusiness PlanningBusiness RequirementCi/cdCloudCode ReviewConversational AiData ProcessingEnterpriseForecastingGcpGovernanceMachine LearningProduct StrategyPythonSaasSparkStakeholder CommunicationStakeholder ManagementTechnical Direction

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Job Description iconJob Description
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About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our 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 our 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.
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.
  • Experience - 15+ years
What Makes This Role Exciting
You will be a key leader in Anaplan's AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.


Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.