Applied AI Engineer (Supply Chain)

Stellantis; Torino; In loco; EUR 47.988 - 61.380; Tempo pieno

Descrizione del lavoro

Stellantis in Torino seeks an Applied AI Engineer to translate business needs into practical AI solutions across the Supply Chain. You will work with regional teams and external partners to frame use cases, prototype, and scale deployment-ready assets.

The role requires a degree in Engineering/AI/CS, 3–7 years of data/AI/software experience, 2–4 years in AI/ML within Supply Chain, strong Python and API skills, and fluency in English and French.

Competenze

• Bachelor’s or Master’s degree in Engineering, AI, or Computer Science.
• 3–7 years of total professional experience in data, AI or software engineering.
• 2–4 years of hands-on AI/ML/GenAI in Supply Chain is preferred.
• Strong technical curiosity and pragmatic build discipline.

Mansioni

• Translate business problems into practical AI solution components and scalable approaches.
• Collaborate with business stakeholders to test ideas and ensure operational value.
• Help distinguish exploratory work from industrialized or broader deployment.

Conoscenze

Python

APIs

Data analysis

AI/ML engineering

Stakeholder collaboration

Delivery prototyping

Formazione

Bachelor’s or Master’s in Engineering, AI or CS

Strumenti

None

Descrizione del lavoro

Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable, and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Job Overview

Join the Supply Chain AI Hub as an AI Engineer helping translate business opportunities into practical AI solutions across different Supply Chain perimeters. This role helps engage closely with business teams, regional stakeholders and external ecosystem players to frame the right use cases, scale value by moving from prototypes and experiments to reusable and deployment-ready assets, and pioneer practical engineering approaches by testing innovations, scouting relevant solutions and contributing to real-world AI delivery.

Responsibilities

The responsibilities of the Applied AI Engineer include but are not limited to the following:

• Translate business problems into practical AI solution components, prototypes, experiments and scalable technical approaches depending on the maturity of the use case.
• Work iteratively with business stakeholders to test ideas early, challenge assumptions and keep technical ambition grounded in real operational value.
• Help distinguish what should remain exploratory from what should move toward reuse, industrialization or broader deployment.

Engineering, Integration & Delivery Support

• Contribute to solution logic, integrations, data connectivity and reusable technical components required by active AI use cases.
• Align technical work with architecture standards, trusted-deployment expectations and practical delivery constraints.
• Help maintain delivery momentum while making early blockers, dependencies and risks visible to the right stakeholders.

Innovation Scouting & External Ecosystem Engagement

• Maintain awareness of relevant external innovations, tools, partners and emerging AI approaches that could strengthen Supply Chain use cases.
• Contribute informed recommendations on when external solutions, partnerships or rapid experimentation are worth exploring.
• Help connect domain needs with relevant external capabilities without losing control of delivery practicality.

Reuse, Scale & Regional Adaptation

• Build with reuse in mind so assets can evolve from early exploration to broader deployment across regions, use cases and business contexts.
• Capture engineering learnings, patterns and playbooks that accelerate future delivery work.
• Contribute to practical AI scale-up by balancing speed, quality, experimentation and long-term maintainability.

Qualifications, Skills & Experience

• Bachelor’s or Master’s degree in Engineering, AI , Computer Science or related field.
• 3-7 years of total professional experience in data, AI, or software engineering environments.
• At least 2-4 years of hands-on experience in AI / ML / GenAI business application Supply Chain exposure is preferred.
• Hands-on AI / ML / GenAI engineering background with strong technical curiosity and pragmatic build discipline.
• Comfortable with Python, APIs, integrations and practical solution development in modern enterprise environments.
• Able to work closely with business stakeholders in iterative delivery, prototyping and scaling contexts.
• Interested in both innovation scouting and real delivery execution.
• Structured, inventive and able to take ownership of a defined subset of a broader AI engineering scope
• Fluent English and French.

Offer

• Salary range: from 43 € to 55 €, that will be defined depending on the level of adherence of the candidate to the job requirements
• Collective Agreement: In accordance with the provisions of the Specific Collective Labour Agreement (CCSL – CNEL code: CO10), and in particular with regard to the classification within the (first / second / third) professional area.

Disclaimer

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.