Head of AI Transformation - APJC, Generative AI Innovation Center

Are you passionate about helping customers achieve business transformation through AI? Do you want to lead forward-deployed teams that embed directly into the enterprise and unlock real business outcomes? And are you ready to operate as a general manager across engineering, science, and commercial strategy in the fastest-moving space in AI and infrastructure?

The AWS Generative AI Innovation Center (GenAIIC) is on a mission to accelerate enterprise AI transformation across global customers going from beyond isolated use cases to holistic, C-suite-sponsored initiatives that reshape how organizations operate. We combine deep AI expertise across science, strategy, and business transformation. We start with the customer's most critical operational challenges and work backwards, and deploy multidisciplinary teams that embed with the customer, prove impact in 45-day sprints, and expand across the enterprise. We are a fast-moving, entrepreneurial team that values leaders who can operate across technical depth and commercial breadth.

As the Head of AI Transformation, GenAIIC APJC Geo, you will own the end-to-end success of AI transformation engagements across the Asia Pacific, Japan, and Greater China region. You will lead a team of ML engineers, AI scientists, and AI strategists who work alongside customers to architect and deliver AI solutions that move and stay in production, realizing value. You will regularly engage with CFOs, CIOs, and C-suite executives — selling transformation, not technology. You must bring a GM mindset: equal fluency in engineering, applied science, go-to-market, and customer delivery. You are ready to roll up your sleeves alongside the team — whether that means scoping an agentic AI architecture, presenting to a board, or operationalizing a repeatable delivery motion across geos. You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to meet the specific needs of the customer, and extend that use to other customers.

Key job responsibilities

• Lead a high-performing, multidisciplinary team of ML engineers, AI scientists and strategists.
• Own the regional engagement pipeline — identify, qualify, and land C-suite-sponsored AI transformation programs with enterprise customers.
• Guide the team in designing, building, and deploying production AI solutions.
• Drive a land-and-expand motion: prove value in focused sprints, then scale across business units with executive sponsorship.
• Operate as a GM — balancing technical delivery, talent development, commercial outcomes, and operational excellence.
• Advise and influence customers on enterprise AI strategy, including architecture decisions, organizational readiness, and change management.
• Drive adoption of AWS generative AI services by delivering AI expertise and developing repeatable transformation playbooks.
• Develop new strategies and mechanisms to address evolving customer needs while increasing business velocity and impact for AWS.
• Influence product roadmap with service teams based on customer feedback.

A day in the life

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

• 10+ years of external or internal customer facing, complex and large scale project management experience
• 7+ years of scientists or machine learning engineers management experience
• Experience presenting complex ideas in writing in the form of authoring white papers, proposals, or other formal strategy documents
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Bachelor's degree in Computer Science, Math, or a related field
• 15+ years sales experience with large global companies
• Cloud/Consulting/IT advisory sales or services experience; credibility to sell complex transformational IT consulting engagements
• Customer relationship management, executive presence, and collaboration skills.
• Experience participating in the sales lifecycle (directly or indirectly)
• Experience launching technical programs, projects, or related work that include the following: artificial intelligence, machine learning, generative AI

Preferred qualifications

• Master's degree in Math, Statistics, Computer Science, or related Science field, or PhD
• Experience with presentations and speaking with executives, IT, management, and developers
• Passion for educating, training, designing, and building solutions for a diverse and challenging set of customers
• Excellent understanding of industry-specific large-scale solutions
• Experience working as an industry practitioner, delivery lead, or industry executive