Advantech is looking for an AI Technical Project Manager to lead the delivery of generative AI and agentic AI applications from concept through deployment and adoption.
In this role, you will work closely with business stakeholders, AI engineers, and cross-functional teams to identify business needs, define project scope and requirements, and drive projects through planning, development, testing, rollout, and continuous improvement.
This is a hands-on delivery role for someone who can connect business objectives with technical execution. Beyond managing timelines, you will help teams apply AI to improve workflows, knowledge access, and operational efficiency while ensuring that solutions are practical, secure, and scalable.
Key Responsibilities
- Define project scope, requirements, priorities, deliverables, and success criteria.
- Translate business needs into clear and actionable requirements for technical teams.
- Develop project plans and manage schedules, milestones, dependencies, risks, and scope changes.
- Work closely with AI engineers and application teams to clarify requirements, resolve issues, and support delivery decisions.
- Coordinate testing, launch readiness, user onboarding, deployment, and post-launch improvement.
- Partner with stakeholders to identify opportunities for applying generative AI and autonomous agents to business workflows.
- Establish appropriate guardrails, approval points, and human oversight for AI-enabled processes.
- Communicate project progress, risks, decisions, and outcomes to stakeholders and leadership.
- Maintain practical project documentation and promote continuous improvement in AI project delivery.
- Support other enterprise application and system-integration projects when required.
Required Qualifications
- 3–5 years of experience in technical project management, technical program management, product delivery, or a comparable role.
- Experience managing software, data, cloud, or AI-related projects from requirements definition through production launch.
- Strong project planning, scope management, problem-solving, and organizational skills.
- Strong stakeholder-management and communication skills.
- Ability to work closely with engineers and translate between business and technical teams.
- Basic understanding of software development, system integrations, APIs, cloud services, or data flows.
- Experience coordinating testing, deployment, rollout, and user adoption.
- Bachelor’s degree in a relevant field or equivalent practical experience.
- Professional working proficiency in English and Mandarin Chinese.
Preferred Qualifications
- Experience with generative AI, machine learning, LLM-based applications, or autonomous AI agents.
- Familiarity with retrieval-augmented generation (RAG), enterprise knowledge management, or AI-enabled workflow solutions.
- Experience with Azure, AWS, or other cloud and AI platforms.
- Understanding of AI governance, security controls, monitoring, and human-in-the-loop design.
- Familiarity with Agile or Scrum practices and tools such as Jira or Azure DevOps.
- Experience with enterprise applications, API integrations, or CI/CD processes is a plus.
- PMP, Scrum, Agile, or another relevant certification is a plus but not required.
What Success Looks Like
Success in this role means delivering AI solutions with well-managed scope and timelines, maintaining strong alignment between business and technical teams, and ensuring that solutions are successfully deployed, adopted, and able to deliver measurable business value.
Skills Required
- 3-5 years of experience in project management, technical program management, or a comparable delivery role, ideally involving software, data, or AI/ML products
- Ability to define and manage project scope and requirements and keep complex projects on track from kickoff to launch
- Strong stakeholder management and communication skills with experience aligning business and technical teams
- Comfort working hands-on with engineers, understanding technical concepts, asking effective questions, and making trade-off decisions
- Experience taking a product or application through deployment and rollout, including testing, launch, and adoption
- Ability to manage multiple priorities in a fast-moving environment
- Bachelor's degree in a relevant field or equivalent practical experience
- Exposure to AI, machine learning, or LLM-based agents and applications, ideally autonomous agents on secure runtimes such as NVIDIA Nemoclaw
- Experience with knowledge management, technical support, product R&D, sales, or marketing workflows and supporting systems
- Familiarity with Agile/Scrum, sprint planning, backlog management, and tools such as Jira
- Experience with cloud AI services such as Azure or AWS, retrieval-augmented generation, and production AI deployment and monitoring
- Project management certification such as PMP
Advantech Intelligent Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Advantech Intelligent Systems and has not been reviewed or approved by Advantech Intelligent Systems.
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Leave & Time Off Breadth — PTO, paid holidays, family/medical leave, and generous parental leave are called out in public materials, indicating a reasonably comprehensive time-off offering.
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Wellbeing & Lifestyle Benefits — Wellness programs, EAP access, monthly catered lunches, free snacks, education funds, and an annual company trip (employee +1) are highlighted, providing tangible lifestyle perks alongside core coverage.
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Fair & Transparent Compensation — Posted salary ranges and corporate materials describing market benchmarking, formal pay ranges, and pay‑equity oversight signal structured and transparent pay practices.
Advantech Intelligent Systems Insights
What We Do
Advantech is a global leader in IoT intelligent systems and embedded platforms, focusing on edge computing and artificial intelligence to serve key markets such as manufacturing, energy, and healthcare.
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