Sr. Solutions Architect - Applied AI for Emerging Products, AWS Applied AI Solutions

Amazon; Mountain View (CA); On-site; USD 177,000 - 239,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking an experienced Solutions Architect in Mountain View to serve as the primary architect for key customer engagements, owning weekly delivery plans, architecture syncs, and the end-to-end technical relationship from proof-of-concept through production.

The role integrates with product management, engineering, and field teams to drive launch readiness, resolve blockers, design AI/ADAS reference architectures, and expand customer opportunities across robotics,

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
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Responsibilities

• Lead customer engagements as primary Solutions Architect across the engagement lifecycle
• Validate product releases and ensure launch readiness across development stages
• Resolve escalations and design reference architectures for AI/ADAS workloads
• Collaborate with product management, engineering, BD, and CS to shape roadmaps
• Identify opportunities across robotics, industrial IoT, and autonomous operations

Skills

Domain experience in cloud/IT

Design & implementation experience

IT development & consulting

Job description

Key job responsibilities

• Customer Architecture & Delivery Ownership: Serve as the primary Solutions Architect for key customer engagements — own weekly delivery plans, architecture syncs, and the end-to-end technical relationship from proof-of-concept through production

• Product Quality & Launch Readiness: Rigorously validate product releases across development stages (preview, beta, GA), proactively identifying blockers, filing issues, and building/restoring demo environments to maintain customer confidence through launch milestones

• Technical Unblocking & Escalation: Drive resolution of complex technical issues across identity, data integration, and platform layers — elevate or resolve all escalations and ensure no customer disengages due to product gaps or environment issues

• Domain Solution Design: Design and validate reference architectures for applying AI to ADAS validation, autonomous vehicle development, scenario analysis, and industrial physical AI workloads

• Field Enablement & Tooling: Build enablement assets (agents, guides, sandbox configurations) that scale the team's ability to demonstrate value and onboard new customers rapidly

• Thought Leadership & GTM Content: Author blog posts, GTM perspective documents, and customer-facing narratives that articulate AWS's differentiated approach to autonomous operations

• Cross-Functional Collaboration: Work across product management, engineering, business development, and customer success teams to shape product roadmap priorities informed by direct customer feedback

• Customer Expansion: Identify and cultivate new customer opportunities across adjacent verticals (robotics, industrial IoT, smart infrastructure) that benefit from autonomous operations capabilities

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

• 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

• 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred Qualifications

• Experience in customer-facing product development and product management, including defining, launching, and optimizing product and services

• Experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites, or experience communicating technical concepts to non-technical audiences

• Demonstrated ability to maintain customer engagement and confidence through ambiguity, timeline shifts, and product maturity challenges

• 3+ years of experience in the autonomous vehicles, ADAS, robotics, or physical AI domain — including familiarity with simulation frameworks, scenario-based testing, sensor data pipelines, or perception/planning stacks

• Hands-on experience building demo environments, validating product releases, and translating product gaps into actionable engineering requirements

• Experience with IoT platforms, digital twins, or data-intensive AI/ML workloads in industrial or automotive settings

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.

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, Mountain View - 176,600.00 - 239,000.00 USD annually

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually