Roles & Responsibilities :
Managerial & Strategic
Lead and mentor a multidisciplinary AI engineering team (ML engineers data scientists AI agents specialists etc.).
Translate business strategies into product/technology roadmaps and delivery plans.
Work closely with Enterprise Architecture Product and Leadership to ensure strategic alignment and platform-scale feasibility.
Manage project budgets resources timelines and vendor relationships.
Define OKRs KPIs and value outcomes for AI-driven initiatives.
Ensure knowledge sharing documentation and operational playbooks for AI platforms and agentic solutions.
Technical & Delivery Execution
Plan and oversee the development lifecycle of agentic AI systems including data pipelines LLM/agent orchestration evaluation frameworks and integration layers.
Coordinate with the Enterprise Architect to ensure solution integrity scalability compliance and interoperability with enterprise systems.
Drive the execution of proof-of-concepts prototypes and pilot deployments transitioning them to production environments.
Facilitate architectural discussions related to:
LLM selection fine-tuning and observability
Agentic workflow frameworks and orchestration tools
API integrations microservices and system interoperability
Data security access governance and MLOps
Oversee QA testing benchmarking and performance evaluation of AI models and agent workflows.
Business & Stakeholder Management
Act as the primary liaison among technical teams business stakeholders and external partners.
Gather and prioritize requirements from business units and stakeholders.
Convert business requirements into technical specifications acceptance criteria and success metrics.
Present project progress risk posture and performance insights to executives.
Drive change management adoption strategies training and enablement for AI-enabled workflows.
Qualifications :
Experience & Qualifications
5 years of experience in technology program/project management product delivery or solution ownership roles.
Experience working on AI/ML data platforms enterprise SaaS or agentic/automation technologies.
Background working with cross-functional engineering architecture and business teams in large complex organizations.
Demonstrated success delivering enterprise technology initiatives from inception through production deployment.
Strong business acumen to connect AI investments with ROI operational efficiency or revenue impact.
Additional Information :
Required Skills & Competencies
Business & Leadership
Strong strategic thinking with ability to articulate business value of AI initiatives.
Excellent stakeholder management communication and presentation skills.
Proven ability to manage cross-functional teams in fast-evolving technical environments.
Skilled in Agile methodologies (Scrum Kanban) and modern delivery management practices.
Technical Knowledge (Manager-Level)
Good understanding of:
Machine Learning and LLM concepts
AI agentic architectures and tool orchestration frameworks
Data pipeline architecture storage and governance
APIs microservices and cloud-native solution patterns
DevOps/MLOps fundamentals (CI/CD model lifecycle management)
Ability to evaluate technical tradeoffs and advise on solution approaches (without needing to build them directly).
Project Management
Strong experience with planning scheduling sprint and backlog management and risk mitigation.
Experience integrating external vendors platform partners and third-party AI tools.
Remote Work :
No
Employment Type :
Full-time
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more