SAP Development Manager - Artificial Intelligence SAP Labs 

Singapore, Singapore 

474828448

What you'll do

Expectations and tasks
Your tasks include:

• Product Delivery - Define product plans and execute against a committed delivery timeline; Manage the day-to-day activities of the development team
• Product Ownership - Ownership of the complete software development lifecycle, designing, leading implementation, and testing of new features, ensure adoption by stakeholders within a fast-paced, agile environment.
• Product Support - Manage customer expectations via product support ensuring high standards in incident processing, quality of interactions and fixes that are delivered
• Development Expertise - Provide functional, architectural guidance to the team
• Technical Hands-On - Maintain a hands-on approach to deliver highly available and scalable Artificial Intelligence Assets
• People Management - Management of people including active engagement, staffing, talent management, career aspirations, mentoring and enhancing skills of team members to maintain a best-in-class Artificial Intelligence development team
• Location Leadership – Actively contribute and drive various leadership initiatives for the location e.g. cross unit collaboration, training plan execution, general administration, hiring & internship management, budget planning and adherence etc.

What you'll bring

• Degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or related field
• 8+ years of experience in software product development with the focus on developing solutions for Artificial Intelligence
• Have a proven track record of building a culture of design excellence that develop high-impact products
• Strong advocate for Agile development processes with experience implementing well-run, agile processes in multiple functions including Development, QA, Release & Deployment.
• Ability to communicate vision and strategy effectively to the team, partners, and clients
• Foster a robust, unified team atmosphere and empower the development team to engage in efficient, smooth cross-collaboration dynamics for optimized productivity.
• Technical knowledge required to command the respect of high-octane engineering team
• Effectively lead teams, manage customer incidents promptly and ensure concerns are addressed within the SLA period.
• Possess strong organizational skills and be comfortable with leading change.
• Required technology exposure & experience
  • SaaS delivery based on microservices architecture
  • Container technologies like docker, Kubernetes etc.
  • Cloud integration and deployment on AWS, GCP or Azure
  • Proficiency in one or more programming languages such as Python, Java, Go
  • Demonstrate comprehensive understanding and expertise in DevOps methodologies and principles.
  • Theoretical exposure to Machine Learning & Deep Learning based approaches. Hands-on exposure is nice to have.

Optional

• Exposure to Generative AI
• Familiar with Large Language Models (LLM) and Prompt Engineering.
• Familiar with MLOps concepts

Job Segment: Cloud Operations, Machine Learning, Artificial Intelligence, Generative AI

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