AmazonPosted 1w ago

Senior Solutions Architect, CCOE-GSP Sales

Senior Solutions Architect, CCOE-GSP Sales at Amazon scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$154k-$208k

AI in this role

bedrockreplicatesagemaker

ragai-agents

AWS Global Strategic Partners (GSP) Sales drives adoption of the AWS services worldwide by selling into the world's largest consulting partners. These partners are our customers — they use AWS for their own internal operations and to design, build, and deliver solutions for their end customers. Our team empowers them to grow their AWS footprint and delivery capabilities through tailored service, unmatched technology, and hands-on architecture guidance. We dive deep into understanding each partner's unique challenges and go-to-market strategy, then craft innovative solutions that accelerate their success. Join us and help us grow.

We are looking for a Senior Solutions Architect who thrives on rolling up their sleeves and performing hands-on technical work as part of their coverage responsibilities. When you determine that rolling up your sleeves and performing technical work directly in a partner’s non-production environment is the fastest path to accelerating an outcome or winning an opportunity, you have the permission and operational processes to do exactly that. You will build prototypes, proof-of-concepts, AI agents, data pipelines, and integrations in real time.

The work may take any shape: a prototype that unblocks a migration, an AI Agent that transforms a core business process, a security control implementation, tweaks to a CICD pipeline, a data pipeline to land new assets in a data lake, integration with a new AWS feature, or a proof-of-concept for agentic AI using Amazon Bedrock and AgentCore. You will architect agentic systems, implement GenAI design patterns, and create solutions that demonstrate the power of AWS. You are equally comfortable with whiteboarding system design with a CTO and pair-programming with a delivery team.

The decision to perform hands-on technical activity is made flexibly on the ground when you identify an opportunity within your existing bandwidth. You will lead by doing, creating reusable frameworks that scale across partner practices and establishing design patterns their teams can replicate. This role requires building deep technical relationships with partner leadership and working across international boundaries.

25%-30% travel is required.

Key job responsibilities
- Design, build, and deploy solutions on AWS alongside partner engineering teams — from proof-of-concept through customer delivery, with a focus on agentic AI applications and GenAI design patterns
- Architect agentic systems using Amazon Bedrock, AgentCore, Step Functions, Lambda, and EventBridge — establishing reusable patterns for multi-agent orchestration, tool use, and autonomous workflows
- Work embedded within partner teams — pair-program, conduct code reviews, debug distributed systems, and iterate rapidly to deliver solutions that meet end-customer requirements
- Create reusable assets — reference implementations, starter kits, deployment templates (CDK, CloudFormation, Terraform), and documentation that partner delivery teams can scale across engagements
- Own the technical relationship with large consulting partner customers — serve as the trusted hands-on advisor as they grow their AWS practice
- Drive adoption through building — demonstrate what's possible by delivering working software and turning proof-of-concepts into reusable patterns that drive long-term AWS adoption
- Contribute thought leadership — author AWS blogs, whitepapers, and open-source projects; present at AWS Summit and re:Invent based on real solutions you've built
- Act as the voice of the partner — provide feedback to AWS service teams based on real deployment experience and submit feature requests that improve developer experience

About the team
Diverse Experiences

AWS 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.

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 & 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.

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.

Basic qualifications

- Experience in hands-on work managing complex technology projects
- 8+ years of experience in software development, cloud computing, systems engineering, or infrastructure — with a strong hands-on building background
- 3+ years of experience designing, building, and deploying applications on AWS or equivalent cloud platforms
- Proficiency in one or more programming languages (Python, Java, TypeScript, Go) with demonstrated ability to build customer-facing applications and automation
- Experience with infrastructure-as-code (CloudFormation, CDK, or Terraform) and CI/CD pipeline design

Preferred qualifications

- Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency
- 4+ years of contact center experience, or experience with AWS services or other cloud offerings
- Experience building agentic AI applications — multi-agent orchestration, RAG pipelines, and LLM-powered automation using Amazon Bedrock, AgentCore, or equivalent
- Deep familiarity with agentic design patterns: tool use, function calling, chain-of-thought reasoning, human-in-the-loop workflows, and autonomous task execution
- Experience with the AWS AI/ML stack: SageMaker, Bedrock, Lambda, Step Functions, EventBridge, OpenSearch, Kendra
- Experience working with or for large consulting partners (e.g., Accenture, Deloitte, TCS, Infosys, Wipro, DXC, Cognizant)
- Experience with observability and debugging distributed systems at scale
- Strong communication skills — able to translate complex technical concepts for executive audiences while maintaining credibility with engineering teams
- AWS certifications (Solutions Architect Professional, AI/ML Specialty, or relevant Specialty certifications)

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

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, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI AgentsBedrockReplicateSagemaker

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of Bedrock that you've run into, and how did you work around them?
What's a project where you used Replicate hands-on?
Walk me through how you've used Sagemaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, AI Agents, Bedrock, Replicate, and Sagemaker. 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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