Principal Applied AI SA, Software, AI, and Technology (Digital Native)

Amazon


Job Location:

Seattle, WA - USA

Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Applied AI Specialist Solutions Architect (SA)

AWS Global Sales drives adoption of the AWS cloud worldwide enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service unmatched technology and unwavering support. We dive deep to understand each customers unique challenges then craft innovative solutions that accelerate their success. This customer-first approach is how we built the worlds most adopted cloud. Join us and help us grow.

Are you passionate about generative AI agentic AI and the large language models and autonomous systems reshaping how businesses operate Are you excited by the idea of helping some of the worlds largest technology companies put that potential into production Wed love to hear from you.

Generative AI and agentic AI are changing how people work. Generative AI is producing code content and analysis on demand while agentic systems are taking on multi-step business tasks with growing autonomy from customer support and software delivery to financial operations and supply chain logistics. Training and running the foundation models and agents behind this shift takes serious compute which is why the cloud and AWS in particular is where this work happens. Were looking for someone who wants to help enterprise customers turn that potential into real production systems.

In this role youll be the go-to technical expert for designing scalable secure and cost-effective generative AI and agentic AI solutions using services like Amazon Bedrock Amazon Bedrock AgentCore and the Strands Agents SDK. Youll balance whats newest in AI with what large enterprises actually need to run in production: reliability governance and compliance. That means helping organizations build responsible AI practices from choosing and customizing foundation models to running multi-agent systems in production backed by clear governance frameworks and secure AI pipelines.

Youll work directly with some of AWSs largest and most strategic technology customers as they build out their AI roadmap helping their teams stand up practical GenAIOps and AgentOps practices and enterprise-grade AI architectures that deliver measurable business value. Day to day that means sitting down with customer engineering teams to understand what theyre trying to build then turning that into concrete technical architectures spanning model selection orchestration and agent deployment. Youll present AWS services and solutions write up the patterns that work so others can reuse them and help customers partners and independent software vendors (ISVs) get the most out of generative AI and agentic AI on AWS. Youll also help raise the bar across AWSs technical community by sharing what you learn along the way.

Were looking for people with deep hands-on experience across the applied AI spectrum: generative AI and agentic AI plus a working knowledge of the model training and fine-tuning that sits underneath them. That includes real experience with large language model (LLM) customization and fine-tuning inference optimization agentic frameworks (for example Strands Agents SDK LangGraph CrewAI) GenAIOps and AgentOps AI security retrieval-augmented generation (RAG) and vector store optimization (for example vector engines and stores such as Amazon S3 Vectors) and prompt and context engineering. Experience with AWS applied AI services such as Amazon Bedrock Amazon Bedrock AgentCore Amazon Q Developer Amazon Quick and Kiro is a plus but not required.

You should be a strong communicator who can talk comfortably with anyone from a developer to a CEO translating complex technical ideas into guidance people can actually act on. Previous AWS experience is nice to have but not required as long as youve built and run large-scale AI systems in production. Youll get to work directly with senior engineers at customers partners and AWS service teams shaping roadmaps and pushing applied AI forward.

Key job responsibilities

Build and maintain technical trusted-advisor relationships with influential technical decision-makers to drive adoption and deployment of AWS services with particular focus on enterprise-grade generative AI solutions agentic systems and the foundation models and infrastructure that support them.

Architect scalable secure and cost-effective solutions using AWSs applied AI stack including Amazon Bedrock Amazon Bedrock AgentCore Amazon SageMaker AI and purpose-built AI infrastructure such as AWS Trainium and Inferentia. Work closely with customers to understand their business needs and design solutions that balance performance and cost while maintaining clear governance and responsible AI practices.

Serve as a thought leader in the applied AI space by developing technical content and practical implementations that showcase modern AI architectures. Create reference architectures workshops and demos that highlight integration patterns for LLMs RAG systems multi-agent systems built with Amazon Bedrock AgentCore and the Strands Agents SDK and GenAIOps and AgentOps best practices. Share insights through AWS Blogs public speaking engagements and technical communities.

Build and grow an internal AWS community of applied AI experts focused on knowledge-sharing across generative AI and agentic AI domains. Establish best practices for emerging agent frameworks and tooling and create enablement materials for the broader AWS technical community.

Work across AWS teams to accelerate customer success with applied AI implementations. Partner with business development professional services and support teams to drive adoption of AWS AI services from proof of concept to production deployment.

Act as a technical liaison between customers and AWS engineering teams ensuring successful implementation of AI solutions while maintaining alignment with the AWS Well-Architected Framework and AI best practices.

A day in the life

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive cloud platform used by more customers than any other. We pioneered cloud computing and have never stopped innovating; thats why customers from the most successful startups to Global 500 companies trust our suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.


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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Bachelors degree in computer science engineering mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level including training workshops publications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives IT management and developers
- Experience architecting migrating transforming or modernizing customer requirements to the cloud

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA San Francisco - 210200.00 - 284300.00 USD annually


Required Experience:

Staff IC

Applied AI Specialist Solutions Architect (SA)AWS Global Sales drives adoption of the AWS cloud worldwide enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service unmatched technology and unwavering support. We dive d...

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