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For Companies At a Glance
- Tasks: Lead exciting Gen AI projects and bridge tech solutions with business needs.
- Company: Join AWS, the leader in cloud innovation and technology.
- Benefits: Enjoy flexible work-life balance, mentorship, and career growth opportunities.
- Why this job: Make a real impact in the world of AI while working with diverse teams.
- Qualifications: 5+ years in AI/ML and cloud computing, plus project management experience.
- Other info: Inclusive culture that values diverse experiences and continuous learning.
The predicted salary is between 54000 - 84000 £ per year.
The Gen AI Innovation Center is a global team of experts that help customers realise 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 which 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.
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 - 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, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, 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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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
Senior GenAI Engagement Manager, AWS Generative AI Innovation Center in London employer: AWS EMEA SARL (UK Branch)
Contact Detail:
AWS EMEA SARL (UK Branch) 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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills in real-time! Consider doing a mock presentation or a case study related to Gen AI. It’s a great way to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Tailor your approach! When you get an interview, research the company and its projects. Bring specific examples of how your experience aligns with their goals, especially in AI/ML.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it shows you’re 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 Technical Knowledge: Since this role involves bridging business requirements with technical solutions, make sure to demonstrate your understanding of AWS services and architectures. Mention specific projects where you’ve successfully implemented AI/ML solutions to show us what you can bring to the table.
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 genuinely interested in joining our awesome team at StudySmarter.
How to prepare for a job interview at AWS EMEA SARL (UK Branch)
✨Know Your Gen AI Inside Out
Make sure you brush up on your knowledge of Generative AI and AWS services. Be ready to discuss specific projects you've managed, focusing on how you leveraged AI/ML to achieve business outcomes. This will show that you not only understand the technology but can also apply it effectively.
✨Bridge the Gap
Prepare to demonstrate how you can connect technical solutions with business needs. Think of examples where you've distilled complex requirements into actionable plans. This is crucial for the role, so have a few stories ready that highlight your ability to facilitate engineering discussions and align with customer goals.
✨Showcase Your Project Management Skills
Since this role involves managing complex projects, be prepared to talk about your experience with project management methodologies. Highlight any certifications you have and provide examples of how you've successfully delivered technical programmes in the past, especially in an agile environment.
✨Embrace Diversity and Inclusion
AWS values diverse experiences, so don’t shy away from sharing your unique background. Whether your career path has been traditional or not, be confident in discussing how your experiences can contribute to the team’s culture and success. This will resonate well with their inclusive ethos.
