Sr. AI Consultant, Tech & Industry
Amazon is hiring a Sr. AI Consultant, Tech & Industry for a remote role open to applicants in Singapore. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this AI consultant role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions AWS, artificial intelligence and cloud architecture among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Architect and deliver scalable AI and generative AI solutions for AWS customers as part of the Professional Services team.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. 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
- Thought Leadership with extensive knowledge in Artificial Intelligence techniques, tools and approaches
- Helping customers architect scalable and highly available AI solutions that leverage AWS services.
- Designing and developing cost effective automations for customer use cases with AI and Generative AI
- Working as a technical leader alongside customer business, development, and infrastructure teams.
- Advising and implementing AWS best practices during pre-sales and project phase.
- Implementing AIOps best practices
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
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 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
Basic qualifications
- 10+ years of technical specialist, design and architecture experience
- 10+ years of experience in developing long-term strategies around product/ solution roadmap with execution programs to deliver on envisioned strategy.
- Recent and demonstrable hands-on experience with AI workloads.
- Ability to create compelling customer proposals and executive-level presentation skills
- Expert level understanding of AI, Generative AI and Agentic AI concepts
Preferred qualifications
- 5+ years of full stack development experience
- Experience with pre-sales a plus
- Industry expertise in FSI.
- AWS Cloud Certifications.
- Experience with AWS AI 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Sr. AI Consultant, Tech & Industry at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI consultant job
- $151k
This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs
Questions you could be asked
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where aiops was part of your work. What did you do?
- Tell me about a project where consulting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Artificial Intelligence, Cloud Architecture, Generative AI, Aiops, and Consulting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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