AI Senior Rollout and Support Manager

💼 Role Overview As an AI Senior Rollout and Support Manager, you'll lead the design and deployment of end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-premises environments. This role offers an exciting opportunity to grow your expertise in AI platform development while making a meaningful impact on our organization's digital transformation. 🎯 What you will do (Key Responsibilities) Lead the planning, testing, and delivery of solutions for the MA Global AI self-service platform, including Agentic AI, AI Workbench and Tooling, Model Management, shared RAG service, MCP, and AI Runtime environments Develop solution blueprints by translating business requirements into technical architecture, gaining hands-on experience in selecting appropriate tools, frameworks, and infrastructure for AI model development and operations Integrate AI capabilities with internal APIs, enterprise platforms, and user-facing applications in IT and Networks, working with LLM-based and agentic workflows Collaborate with security and governance teams to ensure solutions are secure and compliant, embedding PDPA and enterprise policy requirements into your designs Partner with MA AI and data teams to operationalize AI models, learning how to ensure architectural alignment, scalability, and lifecycle support Contribute to proof-of-concepts (PoCs), technical evaluations, and prototyping efforts, gaining valuable experience in emerging AI technologies Stay current with AI technologies and best practices in integration, model lifecycle management, and platform operations Participate actively in architecture reviews, technical discussions, and sprint planning with cross-functional teams Define and enforce architectural standards, reusable design patterns, open standards, and reference implementations to streamline AI deployment across business units Explore emerging AI technologies such as vector databases, context-aware agents, and orchestration protocols (e.g., LangChain, LangGraph, MCP, A2A), and assess their applicability within the enterprise Lead solutioning activities and mentor a small development team consisting of AI engineers and application developers on selected use cases Own the business knowledge strategy for AI, including documents, data, FAQs, and rules; coordinate with data owners and regions for knowledge onboarding Drive improvements in AI quality through prompt optimization, knowledge management, and feedback loops Support the auto-learning framework and guide the organization in adopting the self-service AI Framework and API interface

👤 What We’re Looking For (Qualifications & Skills) Bachelor's degree in computer science, engineering, data, AI/ML, or related field (master's degree preferred). 3+ years of experience in solution management, AI/ML platform integration, data pipeline design, or API-driven systems, or equivalent project-based experience. Experience designing and integrating AI workflows, including exposure to data pipelines, model orchestration, and API serving across cloud environments. Understanding of AI/ML systems, cloud-native architectures, and API ecosystems, with willingness to deepen expertise. Hands-on or project experience with cloud-based AI services such as Microsoft Azure ML, AI Foundry, BTP AI Core, or Bedrock, including model deployment and monitoring. Familiarity with open-source and open-standard tooling for AI and agentic frameworks (e.g., n8n, Portkey, or equivalent). Knowledge of API architecture and integration standards, with experience enabling secure and scalable interfaces between AI models and enterprise systems. Ability to evaluate and learn new AI technologies, frameworks, and vendor solutions for enterprise environments. Strong collaboration and communication skills to work effectively across data, API, ML, and AI platform teams, translating between business and technical stakeholders. Solid project management competencies and organizational skills. Good technical and presentation skills, with the ability to explain complex concepts clearly to diverse audiences. Proactive mindset and eagerness to learn emerging technologies and industry trends. Foundational knowledge of business processes and data-driven use cases, with genuine interest in AI and data technologies.

💎 What’s In It for You We don’t just offer jobs—we build careers. At Bosch, you’ll benefit from: 🕰️ Flexible working hours 🧠 Continuous learning 💼 Career mobility across functions and regions 🧘‍♀️ Well-being support and employee assistance programs 💸 Attractive compensation including bonus schemes and insurance 🤝 Inclusive culture built on respect, collaboration, and empowerment 📅 Next Steps Our recruitment process typically includes: Application screening Interview(s) with Hiring Manager, Business Leaders and HR Business case or technical assessment (where relevant) Ready to grow your career with Bosch? 🚀 Apply Now!