Description

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

Are you passionate about helping organizations push the boundaries of artificial intelligence? As an Enterprise Account Engineer II at Amazon Web Services (AWS) you will serve as a trusted technical advisor to customers building and scaling Frontier AI workloads on the cloud. Your deep understanding of cloud computing architecture, machine learning infrastructure, and large-scale distributed systems will help customers navigate complex challenges - from training foundation models to deploying inference endpoints at scale.

You will craft and execute strategies that accelerate your customers' AI initiatives advising on architecture operational readiness and performance optimization. Whether your customers are training large language models building generative AI applications or scaling GPU-intensive compute clusters you will be the technical expert they rely on to achieve their goals. This is an opportunity to work at the intersection of cloud technology and AI innovation where your recommendations directly shape how customers build the next generation of intelligent systems.

Key Responsibilities

• Design and recommend cloud architectures optimized for Frontier AI workloads including large-scale model training fine-tuning and inference across GPU and accelerator-based compute environments
• Drive technical discussions on operational trade-offs incident management and risk mitigation for customers running complex AI and machine learning pipelines on AWS
• Collaborate with solutions architects service engineering teams and account managers to identify adoption opportunities and resolve technical blockers for AI-focused customers
• Review customer environments proactively to improve resilience scalability and cost efficiency ensuring their AI infrastructure meets performance and availability targets
• Deliver technical guidance through architecture reviews workshops and enablement sessions that help customers integrate cloud and AI best practices into their operational processes

Key job responsibilities
- Design and recommend cloud architectures optimized for Frontier AI workloads, including large-scale model training, fine-tuning, and inference across GPU and accelerator-based compute environments
- Drive technical discussions on operational trade-offs, incident management, and risk mitigation for customers running complex AI and machine learning pipelines on AWS
- Collaborate with solutions architects, service engineering teams, and account managers to identify adoption opportunities and resolve technical blockers for AI-focused customers
- Review customer environments proactively to improve resilience, scalability, and cost efficiency, ensuring their AI infrastructure meets performance and availability targets
- Deliver technical guidance through architecture reviews, workshops, and enablement sessions that help customers integrate cloud and AI best practices into their operational processes

A day in the life
You start your morning reviewing operational health dashboards for your customers' AI training clusters checking for scaling events or service advisories that may need attention. Mid-morning you join an architecture review with a customer's ML engineering team to evaluate their plan for deploying a new foundation model into production. After lunch you collaborate with an AWS service team to advocate for a feature request that would improve your customer's GPU utilization. Later you prepare a quarterly business review that highlights progress on cloud maturity milestones and recommends next steps for optimizing their inference workloads.

About the team
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.

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 value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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

- * Experience in a similar role as a Technical Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc.
- * Understand operational parameters and troubleshooting for 2 or more of the following: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development
- * Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences * Ability to juggle tasks and projects in a fast-paced environment
- * Experience of Operations of AI Workloads and leveraging AI for Operations
- * Customer obsessed

Preferred Qualifications

- * Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. * Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement * Previous experience as a Software Engineer, Developer, DevOps Engineer etc. in a Startup or working with Startups would be beneficial * Understanding of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef is a plus

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

About the company

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company Size

10,001+

Company Stage

IPO

Headquarters

Seattle, Washington

Founded

1994

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Simplify's Take

What believers are saying

AI drives growth: AWS's AI and custom-chip sales each more than doubled, passing $25 billion a year by June 2026.
Stock grants gained value: shares hit a record in August 2026, making Amazon the fifth company to reach $3 trillion.
Ads are a third engine beside stores and AWS: they grew 26% to $19.8 billion in the June 2026 quarter.

What critics are saying

AWS's lead is shrinking: in the June 2026 quarter, Google Cloud grew 82% and Microsoft's Azure 43%, versus AWS's 37%.
Job security has slipped: Amazon cut 30,000 corporate jobs in October 2025 and January 2026 to reduce management layers.
Expect five office days a week: Amazon ended its three-day hybrid policy for corporate staff in January 2025.

What makes Amazon unique

Most of Amazon's profit comes from cloud: AWS made 21% of sales but 60% of operating profit in mid-2026.
Amazon is America's biggest parcel carrier by volume: it handled 6.9 billion packages in 2025, more than the Postal Service.
Writing matters more than slides: Amazon meetings open with silent reading of a six-page memo instead of PowerPoint.

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Flexible Work Hours
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Yahoo Finance

Oct 23rd, 2026

Amazon Q3 earnings on October 29: AWS growth and $197B–$202B sales guidance in focus

Amazon will report third-quarter earnings on October 29. The stock has gained 8% this year, trailing the broader market, even as demand grows for Amazon Web Services (AWS) and artificial intelligence (AI) infrastructure. Amazon guided Q3 net sales of $197 billion to $202 billion, implying about 11% year-over-year growth at the midpoint. AWS revenue grew 36.7% in Q2, and its backlog stands at $496 billion. Advertising revenue rose 26% to $19.8 billion. Analysts expect earnings of $2.01 per share, up about 3%. Heavy AI spending may limit near-term margin gains. Analysts hold a "Strong Buy" consensus rating on the stock.

Fortune

Oct 23rd, 2026

Amazon promises 30,000 entry-level UK jobs by 2030 after cutting 30,000 corporate roles

Amazon plans to create 30,000 entry-level jobs in the UK by 2030 through a new programme called the Amazon Youth Promise. Salaries will start at £31,000 (roughly $41,500), and the company will also train young people not in education, employment or training (Neets). The UK has about one million Neets, mostly in its largest cities. Amazon joins Microsoft, Cisco, and IBM in pledging jobs through the government's Youth Guarantee initiative. The announcement comes as Amazon cuts white-collar roles. It let go of roughly 1,000 workers in India, the UK, and its retail business in early October, on top of 30,000 corporate jobs cut over the past year to focus on AI. "This is exactly the kind of employer leadership that will reach young people in the communities that need it the most," said Pat McFadden, work and pensions secretary.

Yahoo Finance

Oct 23rd, 2026

$1,000 in Amazon a decade ago is now worth $5,966 despite a 50% crash

A $1,000 investment in Amazon a decade ago is worth $5,966 today, a 497% return that beats the S&P 500's 255% gain. The stock held up despite a roughly 50% fall after the company overbuilt its fulfilment network and posted its first unprofitable year since 2014 in 2022. Cloud growth has returned under chief executive officer Andy Jassy. Amazon Web Services (AWS) revenue rose 36.7% to $42.2 billion in the second quarter of 2026, its fastest growth in 18 quarters, driven by AI demand. Advertising brought in $19.8 billion, up 26%. Spending is the risk. Amazon expects about $220 billion in capital expenditure in 2026, while trailing free cash flow stands at -$7.6 billion. The stock trades at a price-to-earnings ratio near 35. Five-year buyers have trailed the S&P 500.

Yahoo Finance

Oct 23rd, 2026

Amazon's free cash flow turns negative at $11.6B as AI spending heads for $220B

Amazon earned $135 billion in net income over the four quarters ended June 2026, but its free cash flow was negative $11.6 billion. Free cash flow was $48.3 billion in the twelve months to June 2024 and $13.5 billion a year later. Most of the cash is going to AWS and generative AI data centres. Amazon spent $53.1 billion on capital projects in the June quarter, against $45.4 billion in operating cash. It now expects about $220 billion of capital spending in 2026, up from about $200 billion, because memory costs more. Total debt rose to $223 billion from $134 billion a year earlier. Management points to a $496 billion backlog and 36.7% AWS revenue growth in the June quarter. Third-quarter results, due in October 2026, will show whether spending is easing against operating cash.

Yahoo Finance

Oct 22nd, 2026

World's six richest lose $130B as AI spending fears hit tech stocks

The world's six richest people lost a combined $130 billion on Thursday as tech stocks fell on renewed doubts about returns on AI infrastructure spending. Elon Musk lost $74 billion, bringing his net worth to $914.7 billion, as SpaceX shares sank nearly 9%. Investors weighed a $35 billion cash-flow gap and Musk's confirmation that SpaceX is considering a merger with Tesla. Tesla fell 2%, after it cut its full-year capital expenditure guidance to $20 billion from over $25 billion. Mark Zuckerberg lost $18 billion as Meta fell 8%. The company raised the low end of its capital spending forecast by $5 billion, to $135 billion to $145 billion. Jeff Bezos lost $11 billion as Amazon fell nearly 5%. Larry Page and Sergey Brin lost a combined $15 billion, and Michael Dell lost $12 billion as Dell Technologies dropped 7%.

Amazon

Frontier AI Technical Account Manager - Enterprise Support, Startups

About the job

Description

Basic Qualifications

Preferred Qualifications

About the company

Get referred to Amazon

Simplify's Take

What believers are saying

What critics are saying

What makes Amazon unique

Benefits

Growth & Insights and Company News

6 month growth

1 year growth

2 year growth