Solutions Architect in Stellantis

Solutions Architect

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DESCRIPTION

Intelligent Drive Tech (Stellantis SWX iDT) is a team working on bringing AI-based

solutions into Stellantis vehicles and products. Driven by the latest technology and

outstanding people, we are seeking thought leaders passionate about innovation and

customer experience, able to develop products with a global footprint.

We are looking for a Solutions Architect with exceptional technical, analytical and

leadership skills. You will be working with talented AI engineers, software engineers and

Technical Program Managers, as well as technical leaders from other organizations, to

help driving development of our AI platform and AI-enabled features in Stellantis’

dynamic and transversal environment. If you are excited to embark on journey of

bringing new AI tech to the global customers worldwide, then we’d like to talk to you.

ABOUT THE ROLE

As a Solutions Architect you will define and own the architecture and technical design of

AI-enabled features and AI platform components in a transversal landscape including

vehicle, mobile, cloud and data environments. You will cooperate with product

managers, architects, and technical leaders beyond the iDT organization to identify and

communicate technical decisions, areas of integration and technical impact of the

prospective solution architecture from early definition to production. As a technical

leader you will influence AI development strategy within and outside of the iDT

organization. In addition to mature technical skills, this role requires strong ability to

communicate, influence and earn the trust of engineers, technical and business

leadership.

BASIC QUALIFICATIONS

• 5+ years of software development experience in one or multiple technology

domain areas (automotive software, cloud/web software, AI software, IOT)

• 2+ years of experience in software architecture/system design/technical

consulting

• Bachelor’s degree in computer science, engineering or equivalent• Extensive experience with at least one of the programming languages (C, C++,

Java)

• Practical knowledge and experience with UML/SysML and modelling tools

• Strong problem-solving skills

PREFERRED QUALIFICATIONS:

• Familiarity with Automotive concepts, processes, standards, and protocols

• Familiarity with AI/ML and data analytics concepts, approaches, and tools

• Experience with cross-platform software development

• Experience with embedded software development

• Experience with mobile development (Android or iOS)

• Experience with Big Data