Solutions Architect, Knowledge Management & Governance, Worldwide Field Enablement

About This Role

DESCRIPTION

Join our team as a Solutions Architect where you'll pioneer the future of AI\-driven enablement at scale. This isn't your typical SA role—you'll architect intelligent systems that fundamentally transform how we analyze, design, develop, implement, and evaluate enablement programs across our global organization.

You'll be building the AI infrastructure that reduces program development cycles by 40% while improving quality and Field outcomes. Rather than supporting existing systems, you'll design and implement modern AI agents and automation solutions that haven't been built before. You'll work at the intersection of instructional design, change management, and artificial intelligence—creating solutions that diagnose skill gaps, orchestrate practice, deliver feedback, and reinforce execution where work actually happens.

You'll solve the challenge of scaling personalized learning experiences across thousands of users while maintaining quality and pedagogical rigor. You'll address the complexity of integrating AI capabilities across Analysis, Design, Development, Implementation, and Evaluation phases—ensuring our AI investments deliver measurable ROI rather than joining the 95% of AI pilots that fail.

Key job responsibilities

Architect AI\-powered enablement systems that automate content analysis, design recommendations, and development workflows, reducing time\-to\-delivery by up to 40%.

Build intelligent agents for knowledge management and governance that provide scalable, adaptive support across the entire content lifecycle.

Create workflow\-integrated solutions that deliver contextual guidance and just\-in\-time learning directly within existing tools and processes.

Establish technical foundations for human\-AI collaboration frameworks that balance automation with strategic human oversight to implement enablement initiatives.

About the team

About AWS

Diverse Experiences

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, 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

Here at AWS, it’s in our nature to learn and be curious. Our employee\-led affinity groups foster a culture of inclusion that empower 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

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 in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small\- and mid\-market accounts to enterprise\-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world\-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission\-critical applications on top of AWS services.

BASIC QUALIFICATIONS

• Experience with one of the following programming languages: Python, Ruby, Node.js, C\#, or C\+\+
• Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
• Demonstrated experience in prompt engineering for large language models (LLMs), including designing, testing, and optimizing prompts to achieve specific outcomes in AI\-powered applications and workflows.

PREFERRED QUALIFICATIONS

• Experience implementing a cloud\-based technology solution
• Knowledge of AWS services, such as Elastic Compute Cloud (EC2\), Elastic Block Storage (EBS), and Simple Storage Service (S3\)

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, VA, Arlington \- 98,200\.00 \- 160,000\.00 USD annually

USA, WA, Seattle \- 98,200\.00 \- 160,000\.00 USD annually