AI Senior Rollout and Support Manager

Role Overview

As an AI Senior Rollout and Support Manager youll 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 organizations 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

Qualifications :

What Were Looking For (Qualifications & Skills)

• Bachelors degree in computer science engineering data AI/ML or related field (masters 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.

Additional Information :

Whats In It for You

We dont just offer jobswe build careers. At Bosch youll 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:

1. Application screening
2. Interview(s) with Hiring Manager Business Leaders and HR
3. Business case or technical assessment (where relevant)

Ready to grow your career with Bosch Apply Now!

Remote Work :

No

Employment Type :

Full-time