Solutions Architect
About the job
- 3+ years of working with or evaluating AI systems experience
- Experience working directly in customer implementations
- Experience in a technical position
- Production experience with LLMs: advanced prompt engineering, multi-agent architectures, RAG pipeline design, evaluation frameworks, and inference optimization.
- Strong programming skills in Python; proficiency in at least one of TypeScript/Java/Golang. Comfortable writing production-grade code, not just notebooks.
- Hands-on experience with AWS AI/ML services: Amazon Bedrock (Knowledge Bases, Guardrails, Model Customization), SageMaker, and the broader AWS stack (Lambda, ECS/EKS, RDS/Aurora, OpenSearch, Step Functions).
- Experience designing distributed systems at enterprise scale: API design, async patterns, event-driven architectures, security (IAM, VPC, KMS), and observability (CloudWatch, X-Ray, OTEL).
- Demonstrated ability to embed with enterprise customer teams and deliver working prototypes under ambiguity, time pressure, and evolving requirements.
- Strong communication skills: able to run technical discovery with engineering teams and translate tradeoffs into decisions for CTO/CIO audiences.
- You identify the right next action without waiting for direction, and you drive clarity rather than seeking it.
- Lead discovery workshops with customer CTO / engineering teams to map high-value AI use cases across multiple industry verticals.
- Own technical scoping, solution architecture for agentic AI workloads on Amazon Bedrock and AgentCore.
- Build PoCs leveraging Amazon Bedrock, Strands Agents SDK, Amazon AgentCore
- Design and implement multi-agent orchestrations, MCP tool servers, RAG pipelines (Knowledge Bases for Bedrock, OpenSearch Serverless, Aurora pgvector), and LLM-as-judge evaluation frameworks.
- Deliver IaC (AWS CDK / CloudFormation / Terraform) for repeatable, production-grade deployment patterns that the customer can own post-engagement.
- Navigate India's regulatory and translate requirements into Bedrock Guardrails, Automated Reasoning Checks, and data residency configurations.
- Architect AI systems for auditability: model version pinning, prompt logging, PII redaction, inference geography (ap-south-1), and compliance artifact generation.
- Deliver eval-driven acceptance criteria: define benchmark suites, run eval loops against domain-specific test sets, and produce launch-evidence packages that satisfy customer risk / model governance teams.
- Run structured discovery (jobs-to-be-done, process mining, failure mode analysis) to identify AI leverage points and sequence delivery for maximum early impact.
- Build long-term technical relationships with customer engineering leadership and proactively surface new AI deployment opportunities across the account lifecycle.
- Codify repeatable deployment patterns into AWS-wide playbooks, reference architectures, and GitHub samples that scale insights across hundreds of customers.
- Feed structured field signal (model gaps, tooling friction, feature requests, eval results) to AWS Engineering teams
- Collaborate with AWS SA leadership, Specialists, Partner SA, and ISV teams to deliver joint engagements and avoid duplicating effort.
- Represent AWS AI at customer EBCs, industry conferences, and CXO briefings — you are the technical face of AWS's GenAI capability in the field.
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
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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Benefits
Flexible Work Hours
Company Equity
Growth & Insights and Company News
6 month growth
2%1 year growth
2%2 year growth
1%Amazon (NASDAQ: AMZN) shares have fallen 10% since peaking two months ago, which one analyst sees as a buying chance. Concerns over rising AI spending and a rotation out of consumer tech stocks have weighed on the stock, which slightly lags the market in 2026. The business is growing fast. Net sales rose 20% last quarter, the strongest year-over-year jump since 2021. Amazon Web Services (AWS) revenue surged 37% in the second quarter on AI demand; AWS makes up a fifth of revenue but three-fifths of operating profit. North American e-commerce sales rose 16%, helped by Amazon's AI shopping assistant, Rufus. At less than 25 times next year's earnings, the article argues, Amazon's premium is available at a discount.
A $1,000 investment in Amazon (NASDAQ: AMZN) could grow to about $2,059 by October 7, 2031, according to a 24/7 Wall St. base-case model. That implies a modeled share price of $532.62, a 105.87% total return, or 15.54% annually. Shares trade at about $258.35, up 16.49% over the past year. On October 7, 2030, the base path puts the stock at $498.59, or $1,927.14 for a $1,000 stake. The case rests on Amazon Web Services (AWS), which grew 37% to $42 billion last quarter. Amazon's AI and custom chip businesses each top $25 billion annually, with most 2027 Trainium capacity reserved. The risk is spending. A $200 billion 2026 capex plan has pushed free cash flow to -$7.6 billion, so AI demand must arrive for the bull case to hold. Amazon pays no dividend, so all gains must come from the share price.
Amazon is testing whether shoppers will pay a premium for its new Alexa tablet, as leadership of the Alexa unit changes hands. Shares fell about 0.8% to $260.39 at 12:30 EST. The Alexa Tablet 12 Pro starts at $499.99, against $329.99 for the 11-inch model and $229.99 for the 8-inch version. Shipments begin October 14. Amazon confirmed to Reuters that Daniel Rausch will leave the unit next month. Aidan Marcuss will take over. The tablet's success depends on whether customers keep using Alexa and spend more across Amazon's services. Shares trade 3.7% above the $251.11 GF Value estimate.
The San Francisco company’s software makes it easier for developers to switch between different AI chips.
Michael Moritz, who spent about 38 years at Sequoia Capital backing Google, YouTube, PayPal, and Stripe, says most investors fail because they cannot do nothing. Speaking on The Investor's Podcast Network, he said they sell over scary headlines, round-number prices, or gains that feel too big, cutting short the compounding that builds wealth. He pointed to Amazon, which has traded at all-time highs on many days in its 30 years as a public company. Its stock closed at $262.43 on October 9, up 531.6% in a decade. Amazon's second-quarter revenue rose 19.6% to $200.61 billion. AWS revenue grew 37% to $42.23 billion, with a backlog of $496 billion, despite planned 2026 capital spending of about $200 billion.