Sr. Solutions Architect - ISV, ATLAS

ID: 7829

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, WA, Seattle; USA, CA, Irvine; USA, CA, San Francisco - San Francisco - United States

Salary: 153,600.00 - 207,800.00 USD annually

Job Description

We're hiring Solutions Architects to join one of the fastest growing teams in AWS, working with the ISVs that are defining the future of enterprise software. As part of the ATLAS organization, you'll partner with strategic ISVs who are driving the agentic transformation across every vertical, industry, and geo. These companies are building the tools that millions of developers and enterprises rely on daily, and they're doing it on AWS.

This role spans the full breadth of ISV coverage, from helping customers modernize and scale their existing platforms on AWS to architecting the next generation of AI-powered and agentic applications. You'll be the trusted technical advisor to some of the most innovative software companies in the world, helping them architect, build, and scale their solutions from proof of concept to production. You'll go deep on the technologies reshaping how software is built, deployed, and operated.

Key job responsibilities
Be the trusted advisor: Serve as the primary technical partner to strategic ISVs across the ATLAS portfolio, guiding them from early experimentation through production-scale deployments

Drive platform modernization and growth: Help ISVs optimize, migrate, and scale their core platforms

Architect end-to-end AI and GenAI solutions: Design and validate architectures spanning the full stack, from foundation model integration to agentic workflows, orchestration, evaluation, and observability

Build with customers: Roll up your sleeves on POCs, prototypes, and pilots, then help customers operationalize them into production-grade systems

Go deep on Agentic AI: Help customers design and implement multi-agent systems, tool use patterns, agent orchestration, memory and state management, and human-in-the-loop workflows

Drive technical strategy: Own the technical roadmap for your accounts, identifying opportunities to deepen adoption across the full AWS stack, including AI/ML, data and analytics, infrastructure, security, networking, and governance

Shape the product: Work directly with AWS service teams to influence the roadmap based on real customer needs. Your feedback drives what gets built next

Thought leadership: Publish blogs, present at conferences, and create reusable architectures that raise the bar across the field. Your work will have visibility with AWS's top leadership team

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
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience designing and building agentic AI applications: multi-agent systems, tool use, orchestration frameworks, and evaluation pipelines
- Strong understanding of AI/ML observability, evaluation, and monitoring in production environments
- Ability to architect end-to-end solutions that address security, governance, networking, and cost optimization
- Experience working with open-source AI/ML frameworks and tools (LangChain, LlamaIndex, CrewAI, AutoGen, Strands, or similar)
- Excellent communication skills. You can whiteboard with engineers and present to executives with equal confidence

Preferred Qualifications

- Experience with AWS services such as Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, AWS Lambda, Amazon ECS/EKS, and AWS networking/security services
- Track record of taking cloud workloads or AI/ML workloads from POC to production at scale
- Experience working with ISVs or enterprise software vendors
- Contributions to open-source projects, technical blogs, conference talks, or published architectures
- Experience with AI infrastructure: GPU/accelerator architectures (NVIDIA, Trainium, Inferentia), distributed training, model serving, and inference optimization

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Irvine - 153,600.00 - 207,800.00 USD annually
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Company Information

Company Name: Amazon Web Services, Inc.

Company Website: https://aws.amazon.com

Company Address: 410 Terry Ave N, Seattle, WA 98109-5210, United States

Amazon Web Services, Inc. (AWS) is the cloud computing and infrastructure arm of Amazon.com, Inc., offering a broad and evolving portfolio of on-demand cloud services, platform services, and infrastructure products for organizations of all sizes. Founded to provide scalable, reliable, and cost-effective computing resources over the internet, AWS enables customers to deploy and run applications and services without the need to build and maintain physical datacenters. The company’s public materials describe it as a provider of on-demand cloud computing platforms and APIs to individuals, companies, and governments, supplying infrastructure and higher-level services that accelerate application development, data processing, storage, and global delivery. Core business activities: AWS’s primary business is the design, operation, and delivery of cloud-based computing resources and managed services. That includes offering virtualized compute capacity, object and block storage, database engines (managed relational and NoSQL), networking primitives, identity and access management, security and compliance tooling, analytics and big-data processing stacks, machine learning and AI services, developer and application deployment tools, serverless computing, container orchestration services, content delivery, and Internet of Things (IoT) connectivity. AWS also provides enterprise-focused offerings such as hybrid cloud solutions, migration services to assist organizations in moving on-premises workloads to the cloud, managed operations and support plans, professional services, and training and certification programs for IT professionals. Main products and services: AWS’s product set spans foundational infrastructure to highly managed, domain-specific offerings. Key foundational services include Amazon Elastic Compute Cloud (EC2) for virtual servers, Amazon Simple Storage Service (S3) for scalable object storage, and Amazon Virtual Private Cloud (VPC) for isolated networking. Managed database and data services include Amazon Relational Database Service (RDS), Amazon Aurora (a high-performance relational database), Amazon DynamoDB (a fully managed NoSQL database), Amazon Redshift (a petabyte-scale data warehouse), and Amazon ElastiCache (in-memory caching). For compute modernization, AWS provides AWS Lambda (serverless compute), Amazon Elastic Kubernetes Service (EKS), and Amazon Elastic Container Service (ECS). AWS’s advanced and specialized services include Amazon SageMaker for building, training, and deploying machine learning models; Amazon Rekognition for computer vision; Amazon Comprehend for natural language processing; AWS Glue and AWS Data Pipeline for ETL and data integration; and AWS IoT Core for connecting and managing Internet of Things devices. Application delivery and developer tooling include Amazon API Gateway, AWS CloudFormation for infrastructure as code, AWS CodePipeline and CodeBuild for CI/CD, and Amazon CloudFront for content delivery across a global edge network. The AWS Marketplace and AWS Partner Network (APN) provide channels for third-party software, consulting partners, and managed service providers to offer products and services that run on or integrate with AWS. Infrastructure, delivery model, and pricing: AWS operates a global infrastructure composed of multiple geographic Regions, each containing multiple Availability Zones—physically separate data center locations engineered for fault isolation and high availability. This global footprint supports data residency, low-latency delivery, and resilience for customers deploying distributed systems. AWS’s commercial model emphasizes flexible consumption and cost control: customers commonly choose pay-as-you-go billing for on-demand resources, with options for reserved capacity, savings plans, and spot instances to reduce costs for predictable or interruptible workloads. Support tiers and managed services are available at varying cost and service-level commitments. Security, compliance, and governance: AWS provides a suite of security and identity services—such as AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS CloudTrail, and AWS Config—to help customers secure environments, manage access, encrypt data, and demonstrate compliance. AWS documents participation in standard industry compliance frameworks and certifications, and publishes detailed security and compliance resources to help customers meet regulatory obligations. Customer segments and use cases: AWS serves a broad range of customers that include startups, established enterprises, public sector organizations, educational institutions, and independent software vendors. Common use cases include web and mobile application hosting, data analytics and warehousing, machine learning and AI workloads, backup and disaster recovery, IoT deployments, gaming infrastructure, and enterprise application modernization. AWS emphasizes scalability, elasticity, and rapid provisioning to support development velocity and business agility. Ecosystem, training, and partner network: AWS supports a large ecosystem of technology and consulting partners that build, certify, and deliver solutions on the platform. The company offers official training, certifications, and documentation to help developers, architects, and IT professionals gain proficiency on its services. AWS Marketplace and partner programs provide channels for third-party software procurement and professional services. Business model and positioning: AWS generates revenue principally through consumption-based fees for cloud services and through related professional services and support offerings. It competes in the global cloud infrastructure market with other major cloud providers by focusing on breadth of services, global infrastructure, developer tooling, partner ecosystem, and continuous release of new managed services. AWS positions itself as an enabler for digital transformation by reducing the capital and operational burden of running infrastructure, allowing customers to focus on application development and business innovation. For additional, up-to-date, and authoritative information on product details, global infrastructure, security programs, and service announcements, AWS’s official website and documentation pages provide comprehensive resources and customer-facing materials.

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