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For Companies At a Glance
- Tasks: Lead exciting GenAI projects and bridge tech solutions with business needs.
- Company: Join AWS, a leader in cloud innovation and diverse team culture.
- Benefits: Enjoy flexible work-life balance, mentorship, and career growth opportunities.
- Why this job: Make a real impact in AI/ML while working with cutting-edge technology.
- Qualifications: 5+ years in AI/ML and cloud computing, project management experience required.
- Other info: Inclusive environment that values diverse experiences and continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
The Gen AI Innovation Center is a global team of experts that help customers realize their desired business outcomes leveraging AWS Cloud and our Gen AI Services. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings that help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key Job Responsibilities
- Managing complex Gen AI implementation projects and programs
- Leveraging comprehensive knowledge of AI/ML and AWS services, architectures, and best practices to guide technical decisions and strategic planning
- Bridging business requirements with technical solutions, facilitating engineering discussions, and ensuring alignment with customer business outcomes
- Distilling customer needs into clear technical requirements and mapping them to business outcomes
- Decomposing complex technical problems into actionable, deliverable solutions
- Contributing to technical documentation and defining documentation standards
About the Team
- Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.
- Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.
- 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.
Basic Qualifications
- 5+ years experience in AI/ML and cloud computing
- Experience in AI/ML project management and delivery of technical programs
- 5+ years experience leveraging project management and agile methodologies on enterprise level engagements
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
Preferred Qualifications
- AWS experience in delivering Gen AI solutions into production, AWS Certified AI Practitioner or AWS Certified AI/ML Specialty Exam
- Masters or MBA or advanced degree
- Has at least one active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2) and/or AWS Certified Solutions Architect - Associate
- Strong understanding of AWS services, architectures, and best practices
- Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework-AI/ML
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and
Senior GenAI Engagement Manager, AWS Generative AI Innovation Center in London employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GenAI Engagement Manager, AWS Generative AI Innovation Center in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI/ML and AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to GenAI projects. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior GenAI Engagement Manager, AWS Generative AI Innovation Center in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior GenAI Engagement Manager role. Highlight your AI/ML and cloud computing experience, and don’t forget to mention any relevant project management certifications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Be sure to connect your past experiences with the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to include them in your application. We love seeing real-world examples of how you've managed complex implementations and delivered technical solutions that meet business needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at AWS!
How to prepare for a job interview at Amazon
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially in relation to AWS services. Be ready to discuss specific projects you've managed and how you leveraged these technologies to achieve business outcomes.
✨Showcase Your Project Management Skills
Prepare to talk about your experience with project management methodologies, particularly agile. Have examples ready that demonstrate how you've successfully delivered complex technical programmes and how you bridged the gap between business needs and technical solutions.
✨Understand AWS Frameworks
Familiarise yourself with AWS frameworks like the Well-Architected Framework and Cloud Adoption Framework. Be prepared to explain how you've applied these in past roles to ensure successful cloud adoption and implementation.
✨Emphasise Your Collaborative Spirit
AWS values teamwork and collaboration, so be ready to share examples of how you've worked with diverse teams. Highlight any experiences where you facilitated discussions between technical and non-technical stakeholders to align on project goals.
