IT Manager, Employee Ai Solutions
6 days ago
**Responsibilities**:
- Lead design, development and deployment of employee-facing AI solutions for personal productivity, which include Copilot, SunnyBot and latest Agentic AI capability
- Architect end-to-end AI systems, incorporating Agentic AI principles to enable autonomous decision-making and adaptive intelligence
- Provide mentorship and technical leadership to AI and engineering teams.
- Monitor product performance and user feedback to continuously optimize the solution and improve user experience
- Build for scale - Stay updated with latest advancements in technology including generative AI, reinforcement learning, large language models, multi-agent systems, and ethical AI practices
- Identify the employees’ latent pain points or productivity needs in day-to-day work (Gemba-centricity) that can be solved through AI
- Help break barriers for AI tools and their adoption by working collaboratively with technical vendor partners and internal Suntory teams
- Deliver product improvements on SunnyBot that enhance employee productivity
- Drive adoption (unique Monthly Active Users) of AI capabilities for personal productivity (SunnyBot, Copilot, and other AI tools)
- Conduct Gemba sessions across all BUs to train/support users on relevant functional use cases which can be addressed through AI
- Participate with Director of AI Solutions in prioritization discussions across multiple BUs and functions for use cases or features that are identified as AI related
- Plan and coordinate UAT for new product features
**Job Requirements**
- Bachelor's or master's degree in computer science, artificial intelligence or related discipline
- Experience in participating in IT Delivery projects including management of product lifecycle, from ideation to deployment.
- Proven expertise in Agentic AI concepts, including autonomous agent design, goal-oriented behaviour, and adaptive learning systems
- Deep understanding of AI technologies including NLP, computer vision, generative models, reinforcement learning, and multi-agent systems.
- 3+ years’ experience with ML frameworks (such as TensorFlow, PyTorch)
- 2+ years’ experience with Azure Open AI, chatbot architecture components, RAG framework
- APIs - understanding of framework and security
- Microsoft Copilot - Understanding of Orchestration with AI Agents, Copilot Studio
- Power Automate/Power Apps: fully competent
- Experience designing scalable, cloud-native AI architectures (AWS, Azure, GCP).
- Previous Experience in an international context, working with diverse multifunctional teams
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