Sr. Specialist Solutions Architect - AI Infra, AWS WWSO EMEA
Amazon is hiring a Sr. Specialist Solutions Architect - AI Infra, AWS WWSO EMEA for a remote role open to applicants in Israel. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include AWS, cloud architecture and AI infrastructure.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design scalable cloud architectures and optimization strategies for self-managed AI, analytics, and HPC workloads as an AWS Specialist SA.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which 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. We work backwards from our customers’ most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Are you passionate about cloud computing and its potential to overcome some of the biggest challenges in Self-Managed AI, Analytics, and HPC Workloads? Do you have a unique combination of deep technical knowledge, business acumen, and strong interpersonal skills? Do you enjoy tackling large analytical problems as massive scale? Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on AI Infra to work with our customers, predominantly ISVs and Startups.
The WWSO AI Infrastructure team is the go-to partner that delivers the architecture, deployment, and optimization guidance required for self-managed workloads. The ideal candidate must be self-motivated with a proven track record of customer obsession and delivering results. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in AI.
Key job responsibilities
Design Customer Solutions
Collaborate with the wider AWS teams to help customers and partners architect AI, ML, and HPC(+) Solutions that leverage AWS Services
Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an engagement strategy for AWS operational territories and key accounts, with emphasis on ISV and startup segments
Thought Leadership – Provide thought leadership on solutions that benefit customers through the use of AWS Services. This takes the form of contribution to external publications such as the AWS Compute and Accelerated Compute Blogs, whitepapers, and reference architectures, as well as internal training of Solutions Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers
Serve as a key member of the business development and account team in helping to ensure customer success in building AI infrastructure on AWS.
Assist solution providers with the definition and implementation of technical and business strategies.
Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
Understand AWS market segments, and industry verticals.
Understand and exploit the use of internal business support systems.
About the team
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.
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.
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) conferences, inspire us to never stop embracing our uniqueness.
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.
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.
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 resources here to help you develop into a better-rounded professional.
Basic qualifications
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Deep HPC experience for workloads in a domain such as CAE, Weather Simulation, oil and gas, automotive / aerospace, financial services or pharmaceuticals.
- Experience in architecting an HPC system and infrastructure with orchestration schedulers (e.g. Slurm, Torque, Symphony or GridServer), parallel file systems (Lustre, IBM Spectrum Scale)
- Experience in deployment, tuning, benchmarking and management of HPC technologies in a multi-user environment.
- Deep GPU knowledge in HPC and/or AI/ML frameworks.
Preferred qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure
- Experience in Kubernetes, Docker or containers ecosystem, or experience in software development
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
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. Specialist Solutions Architect - AI Infra, AWS WWSO EMEA 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
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where high performance computing was part of your work. What did you do?
- Tell me about a project where solution architecture was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Architecture, AI Infrastructure, High Performance Computing, Solution Architecture, and AWS. 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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