Senior Solutions Architect - Automotive and Manufacturing Cloud Solutions

Senior Solutions Architect, Automotive & Manufacturing

Amazon Web Services (AWS) Automotive and Manufacturing team is looking for an experienced and motivated technologist who possesses a unique balance of technical depth and strong interpersonal skills. As a Senior Solutions Architect, you will partner with some of the world's largest automotive and manufacturing firms, AWS Sales and other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services.

This role will drive AWS technology adoption and revenue growth across assigned automotive and manufacturing customers. As a trusted customer advocate, the Senior Solutions Architect will work directly with leading industrial manufacturers as they reimagine how things are designed, built, and operated. You will serve as a trusted technical advisor, helping customers navigate architectural decisions across connected vehicle platforms, digital twins, smart factory/Industry 4.0 initiatives, supply chain optimization, and software-defined vehicle (SDV) strategies.

As a key member of the Account Team, you will guide customers' architectural choices across use cases involving IoT, edge computing, high-performance computing (HPC), security, data lakes and analytics, AI/ML, simulation, and robotics — as well as foundational services spanning compute, storage, and networking. You will provide technical design guidance and thought leadership, contribute to best-practice knowledge sharing within the broader AWS Solutions Architecture community, and help develop reusable industry reference architectures.

The ideal candidate must be self-motivated with a proven track record in software/technology architecture or consulting. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.

What We Are Looking For
• Enjoy working with large, global customers. You will have a passion for connecting with, educating, training, designing, and building cloud solutions for automotive and manufacturing customers.
• Have a strong understanding of large-scale, mission-critical solutions in the automotive and manufacturing industry. The ideal candidate will have past experience working as a systems engineer/architect in the automotive or manufacturing sector. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create solutions built on AWS.


Key job responsibilities

• Serve as the primary technical point of contact and trusted advisor for assigned Automotive and Manufacturing accounts, engaging Director-level engineering leaders and senior technical stakeholders.
• Architect and design scalable, secure, and cost-effective cloud solutions for industry-specific workloads including connected vehicle data platforms, digital twin environments, MES/SCADA cloud integration, and smart factory deployments.
• Bridge IT and OT — connect traditional enterprise IT architectures with operational technology (OT) environments on the shop floor and at the edge, leveraging AWS IoT, edge, and hybrid services.
• Develop and execute technical account plans aligned with customers' business objectives and digital transformation roadmaps.
• Lead proof-of-concept engagements and architectural reviews to accelerate customer adoption and de-risk production deployments.
• Provide customer feedback to AWS service teams and advocate for industry-relevant feature development.
• Contribute to industry thought leadership — create reference architectures, blog posts, and reusable technical assets for the vertical.
• Present at AWS events (re:Invent, Summits, industry conferences) and participate in customer technical workshops.
• Share knowledge and best practices with peers in the Solutions Architecture community, contributing to technical community development.
• Stay current with industry megatrends (electrification, SDV, Industry 4.0, sustainability) and connect them with AWS capabilities to drive customer outcomes.


About the team
The Automotive and Manufacturing Solutions Architecture team is a specialized group of technologists passionate about helping the world's leading vehicle manufacturers, industrial companies, and mobility innovators transform through cloud. We work at the intersection of current technology and physical-world engineering — from the factory floor to the connected car to the autonomous future. Our team values deep industry expertise, intellectual curiosity, and a builder mentality.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.

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
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Working knowledge of at least two of the following domains: IoT/edge computing, data analytics/data lakes, AI/ML, HPC, DevOps/CI-CD, or application modernization.

Preferred Qualifications

- Experience with automation and any version control tools, or experience with web-based applications and HTTP and experience in any Bigdata architecture
- Familiarity with Industry 4.0 concepts: digital twins, predictive maintenance, computer vision for quality inspection, and manufacturing execution systems.

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Experience Level

Senior Level