Full-Time
Senior AI Solution Architect
Updated on 9/3/2026
Amazon
10,001+ employees
Global online marketplace and cloud services
No salary listed
Mumbai, Maharashtra, India + 2 more
More locations: Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India
In Person
On-site in India; no remote option stated.
Master's, PhD
 Solution Engineering (1) |
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- 7+ years of design/implementation/operations/consulting with distributed applications experience
- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- Experience giving skills and communicating complex concepts clearly and effectively to diverse audiences across different functions
- Experience leading engineering discussions around technology decisions and strategy related to a product
- 5+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization
- The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
- You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
- Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
- In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
- You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
- Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops, contributing reusable code, reference architectures, and internal technical assets for the broader engineering organization.
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience (non-internship) in professional software development
- Experience engaging and influencing C-level executives, both business and technical
- Cloud Technology Certification, or AWS Professional level certification
- Experience developing solutions and executing plans on complex projects
- Experience leading and influencing your team or organization
- Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with PyTorch, JIT compilation, and AOT tracing
- Deep Agentic AI expertise - Hands-on experience with multi-agent orchestration, tool use, memory, and guardrails using frameworks such as LangGraph, AutoGen, or AWS AgentCore; proficiency in responsible AI tooling including AWS Clarify, Guardrails for Bedrock, model explainability, and bias detection
- Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
- Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g., Financial Services, Healthcare, Public Sector)
Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.
Company Size
10,001+
Company Stage
IPO
Headquarters
Seattle, Washington
Founded
1994
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Simplify's Take
What believers are saying
- Q2 2026 revenue hit $200.6 billion, up 20%, with operating income at $27.5 billion.
- AWS revenue jumped 37% in Q2 2026, its fastest growth in 18 quarters.
- Amazon raised 2026 capex to $220 billion, signaling aggressive AI infrastructure expansion.
What critics are saying
- FTC and 22 states sued Amazon on August 31, 2026 over ad-auction manipulation.
- October 2026 FTC monopoly trial threatens forced remedies against marketplace pricing power.
- January 2026 layoffs cut 16,000 roles, exposing continued restructuring and internal instability.
What makes Amazon unique
- AWS reached a $169 billion annualized run rate in Q2 2026, crushing rivals.
- Amazon’s marketplace bundles logistics, Prime, ads, and cloud into one buyer-seller ecosystem.
- Amazon’s AI and chips businesses each surpassed a $25 billion annualized run rate.
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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%Jeff Bezos remains Amazon's largest individual shareholder, owning 950.4 million shares as of February, representing 8.8% of outstanding shares. His stake is valued at approximately $245.7 billion, comprising the majority of his estimated $280 billion net worth. Whilst Bezos no longer serves as CEO, he retains the role of executive chair. Vanguard Group and BlackRock are the next-largest shareholders, holding 7.2% and 5.9% respectively. Amazon shares have gained 12% year to date through 4 September, slightly trailing the S&P 500's 13.7% return. The company's Amazon Web Services division posted 36.8% year-over-year sales growth in the second quarter, reaching $42.2 billion and accounting for 60.5% of operating income.
Amazon reported revenues of $200.6 billion for Q2, up 19.6% year on year and exceeding analysts' expectations by 2%. The company beat earnings per share estimates in what was characterised as a strong quarter overall. CEO Andy Jassy highlighted AWS growth of 36.7% year-over-year, marking the fastest growth in 18 quarters. The company's AI and Chips businesses each surpassed run rates of more than $25 billion. Amazon's share price has risen 9.7% since the earnings report, currently trading at $258.26. Across the online retail sector, the five tracked companies reported strong Q2 results. As a group, revenues beat consensus estimates by 2.1%, though next quarter's guidance came in 2.1% below expectations. Share prices are up 1.3% on average since results.
AT&T is partnering with Amazon to offer satellite internet to business customers, combining Amazon Leo's low-Earth-orbit satellite services with AT&T's fibre and 5G networks. AT&T becomes the first major US telecommunications provider to integrate Amazon Leo satellite services with existing networks. Amazon has been testing Leo with enterprise customers since November 2025 and plans to launch commercially this year. Leo has already secured contracts across several industries, including a partnership with Delta Air Lines. Amazon reportedly has 392 satellites in space, with 315 in the correct operational orbit. This remains far behind SpaceX's Starlink, which has 11,124 working satellites. The partnership targets enterprise and public sector customers seeking more reliable connectivity.
Amazon announced a multigeneration partnership with Qualcomm to develop AI inference chips and optical networking technology capable of 1.6 terabits per second. The company's shares fell approximately 1.3% in early trading following the news. AWS generated $42.2 billion in second-quarter revenue, up 37%, with operating income reaching $16.6 billion. Amazon reported that both its chip franchise and broader AI business surpassed $25 billion in annual revenue run rates. Under the partnership, Qualcomm will help design Amazon hardware whilst using more AWS infrastructure and AI services for its own semiconductor development. AWS posted an operating margin of roughly 39.3%. The companies did not disclose pricing, purchase commitments, or a deployment timetable for the collaboration.
Amazon, Meta, Microsoft, Alphabet and Oracle — collectively dubbed the "Hyper 5" — have spent $1.1 trillion on capital expenditures over the past five years to build AI infrastructure, according to S&P Global Market Intelligence. Analyst estimates project another $5.3 trillion in spending through 2030. The investment surge is putting pressure on free cash flow. Amazon's free cash flow fell to negative $7.6 billion over the 12 months ended 30 June, from positive $18.2 billion a year earlier. Meta's second-quarter free cash flow dropped 91% to $784 million. S&P Global warns the key risk is companies transitioning from cash to debt-funded investment before returns validate the spending. However, the tech giants remain highly profitable, distinguishing this cycle from the dot-com boom.