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For Companies At a Glance
- Tasks: Lead AI/ML projects, engage with stakeholders, and deliver innovative solutions for global clients.
- Company: Join AWS, the leading cloud platform trusted by startups and Global 500 companies.
- Benefits: Enjoy flexible work-life balance, mentorship, and a culture of inclusion and continuous learning.
- Why this job: Be part of a team that drives transformation through cutting-edge technology and impactful solutions.
- Qualifications: 7+ years in consulting with AI/ML, strong presentation skills, and cloud computing knowledge required.
- Other info: Diverse backgrounds are encouraged; apply even if you don't meet all qualifications.
The predicted salary is between 43200 - 72000 £ per year.
Senior AI/ML Consultant, Professional Services, Global Accounts
Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold vision and lead teams through high impact programs using Artificial Intelligence and Machine Learning? Would you like a career that gives you opportunities to help the largest Global customers and partners innovate and transform on Amazon Web Services?
At AWS, we’re hiring an experienced business-oriented AI/ML practitioner. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. Their focus will be providing solutioning support with customer executives followed by hands-on delivery for AI ML workloads.
Successful candidates will have executive level experience defining, designing, and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands-on understanding of Machine Learning, Data and Business intelligence. The ideal candidate will also have experience with managing data at scale and automation.
Key job responsibilities
- Innovate – Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.
- Deliver value – Lead and support regional ProServe delivery teams as a Subject Matter Expert to deliver transformational ProServe AI/ML engagements for AWS customers.
- Pre-sales support – Create and deliver presentations to customers that inspire the art of the possible with AI/ML running at scale in the Cloud. Understand customer requirements and collaborate with AWS sales leaders to scope, present, and win new customer engagements.
- Domain Leadership – Identify common customer interest across industry verticals and innovate new technology offerings. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
- Expertise Transfer – Upskill AWS ProServe builders in industry verticals on proven ProServe offerings.
About the team
AWS values diverse experiences. Even if you do not meet all of the 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.
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
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.
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
- 7+ years in consulting experience working with Data and AI/ML Solutions
- 7+ years in developing long-term strategies around product / solution roadmaps with execution programs to deliver on envisioned strategy
- Recent and demonstrable hands-on experience with AI/ML workloads.
- Ability to create compelling customer proposals and executive-level presentation skills
- Working level understanding of Cloud Computing, Hybrid, Multi-cloud environments
PREFERRED QUALIFICATIONS
- Experience with pre-sales a plus
- Industry expertise in FSI
- AWS Cloud Certifications
- Experience with AWS Services
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Senior AI/ML Consultant, Professional Services, Global Accounts employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Consultant, Professional Services, Global Accounts
✨Tip Number 1
Network with professionals in the AI/ML field, especially those who have experience with AWS. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Familiarise yourself with AWS services related to AI and ML. Understanding how these services work and their applications will help you engage effectively with customers and demonstrate your expertise during discussions.
✨Tip Number 3
Prepare to showcase your hands-on experience with AI/ML workloads. Be ready to discuss specific projects where you've implemented solutions, as this will highlight your practical skills and ability to deliver results.
✨Tip Number 4
Practice your presentation skills, focusing on how to inspire and engage stakeholders. Being able to communicate complex ideas clearly and compellingly is crucial for winning over customers and leading teams.
We think you need these skills to ace Senior AI/ML Consultant, Professional Services, Global Accounts
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML consulting, focusing on specific projects where you've developed strategies and delivered solutions. Use keywords from the job description to align your skills with what AWS is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with AWS's mission. Mention specific experiences that demonstrate your ability to engage with stakeholders and lead teams through impactful programmes.
Showcase Relevant Experience: When detailing your work history, emphasise your hands-on experience with AI/ML workloads and any pre-sales support you've provided. Highlight your ability to create compelling proposals and deliver executive-level presentations.
Prepare for Technical Questions: Be ready to discuss your technical expertise in AI/ML and cloud computing during the application process. Prepare examples of how you've managed data at scale and automated processes, as these are key aspects of the role.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Expertise
As a Senior AI/ML Consultant, it's crucial to demonstrate your hands-on experience with AI and ML workloads. Be prepared to discuss specific projects you've worked on, the technologies you used, and the impact of your solutions on business outcomes.
✨Prepare for Executive-Level Discussions
Since you'll be engaging with customer executives, practice articulating complex technical concepts in a way that resonates with business leaders. Focus on how AI/ML can drive value and innovation within their organisations.
✨Highlight Your Consulting Experience
With over 7 years in consulting, you should emphasise your ability to develop long-term strategies and execute them effectively. Share examples of how you've successfully led teams and delivered impactful solutions in previous roles.
✨Understand AWS Services and Cloud Environments
Familiarise yourself with AWS services and the nuances of cloud computing, including hybrid and multi-cloud environments. Being able to discuss how these services can be leveraged for AI/ML solutions will set you apart from other candidates.
