A

Amazon

Sells products online and rents cloud computing

Senior Solutions Architect - Industry, Automotive and Manufacturing

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
  • At least 3 years of experience in application and infrastructure design, implementation, or consulting.
  • At least 10 years of IT development or implementation/consulting experience in the software or Internet industries.
  • At least 5 years of experience in solutions architecture or technical consulting, with deep enterprise cloud experience.
  • Hands-on expertise architecting large-scale data, artificial intelligence and machine learning, and real-time streaming workloads, including sensor fusion, perception, simulation at scale, and fleet telemetry.
  • A proven track record designing resilient, secure, cost-optimized architectures on AWS, with depth in compute, containers (EKS/Kubernetes), edge-to-cloud, and MLOps.
  • Experience with autonomous driving or robotics stacks, including ROS, simulation pipelines, GPU-accelerated training, and high-performance computing.

Responsibilities

  • Shape and lead technology strategy for global automotive and manufacturing customers and partners.
  • Act as a trusted strategic advisor to major automotive and manufacturing enterprises, engaging senior technical executives, business decision makers, and C-suite leaders to shape long-term technology and business strategy.
  • Create long-horizon technology strategies that address complex business challenges and demonstrate how cloud adoption can improve business outcomes and competitive standing.
  • Architect solutions to complex, multi-system challenges and create scalable designs that serve as reference architectures for the broader solutions architecture community.
  • Develop architectural patterns and industry-specific methodologies spanning artificial intelligence, machine learning, generative AI, data platforms, and regulated workloads.
  • Translate customer insights into engineering requirements and help shape AWS service-team product roadmaps.
  • Work with account management, professional services, support, product teams, and AWS partners to drive AWS adoption across strategic automotive and manufacturing enterprise customers.
  • Own solution programs end to end, from strategy and architecture through customer realization, and drive measurable, lasting business impact.
  • Set technical and strategic direction for large-scale transformations, including AI/ML and generative AI programs, data modernization, and regulated cloud migrations.
  • Create reusable reference architectures, methodologies, whitepapers, frameworks, and prescriptive guidance for the solutions architecture community and the automotive and manufacturing market.
  • Anticipate customer needs, build consensus, and align complex organizations around a clear path forward.
  • Review sensor-fusion pipelines and simulation-at-scale architectures with customer perception teams; design fleet telemetry ingestion, edge-to-cloud robotics data flows, and ML training infrastructure; support Kubernetes migrations and cost-optimization strategies; prototype reference architectures; mentor account solutions architects; and align with sales on multi-year commitments.

Desired Qualifications

  • Experience with automotive, robotics, or autonomous systems is strongly preferred.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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