Snr Consultant AI/ML, Tech & Industry

Amazon; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Join a forward-thinking team at a leading cloud platform, where you will leverage your extensive AI/ML expertise to help diverse clients transform their businesses. As a Senior Consultant, you will engage with stakeholders to craft a vision for data-driven enterprises, lead innovative projects, and provide invaluable pre-sales support. This role offers a unique opportunity to work on cutting-edge technology solutions while promoting a culture of inclusivity and work-life balance. If you are passionate about making a significant impact in the cloud industry, this is the perfect opportunity for you to shine.

Benefits

Flexible working hours

Work-life balance initiatives

Mentorship programs

Diversity and inclusion initiatives

Qualifications

• 10+ years of consulting experience in AI/ML and Data solutions.
• Expertise in creating customer proposals and presentations.

Responsibilities

• Lead and support AI/ML engagements for AWS customers.
• Create and deliver inspiring presentations to clients.

Skills

AI/ML Solutions

Cloud Computing

Data Management

Consulting Experience

Executive Presentation Skills

Education

Bachelor's Degree in Computer Science or related field

AWS Cloud Certifications

Tools

AWS Services

Hybrid Cloud Environments

Job description

Job ID: 2789017 | Amazon Web Services Singapore Private Limited

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS.

From ideation through to build and then to operate, AWS ProServe is committed to helping customers accelerate their time-to-value. AWS ProServe engages in a wide variety of customer projects, providing collective AWS experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

This Senior Consultant will be based in Singapore but have an APJ wide remit in the Professional Services team. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. 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 on providing pre-sales support with customer executives followed by hands-on delivery for AI ML workloads.

Successful candidates will have executive level experience in leading, 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

1. Innovate: Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.
2. Deliver value: Lead and support local ProServe delivery teams as a Subject Matter Expert to deliver transformational ProServe AI/ML engagements for AWS customers.
3. 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.
4. Domain Leadership: Identify common customer interest in APJ 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.
5. Expertise Transfer: Upskill AWS ProServe builders in APJ on proven ProServe offerings.

About the team

Diverse Experiences: Amazon 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.

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.

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 empower 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 and 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.

BASIC QUALIFICATIONS

1. 10+ years of consulting experience working with Data and AI/ML solutions.
2. 10+ years of experience in developing long-term strategies around product/solution roadmap with execution programs to deliver on envisioned strategy.
3. Recent and demonstrable hands-on experience with AI/ML workloads.
4. Ability to create compelling customer proposals and executive-level presentation skills.
5. Expert level understanding of Cloud Computing, Hybrid, Multicloud environments.

PREFERRED QUALIFICATIONS

1. Experience with pre-sales a plus.
2. Industry expertise in FSI or Telco is a plus.
3. AWS Cloud Certifications.
4. Experience with AWS services.

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Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.