Senior AI Engineer

UMATR; München; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading technology organization is looking for a Senior AI Engineer to drive the development of simulation-based software products. This role involves product ownership, cross-functional collaboration, and the opportunity to work on cutting-edge technologies in a dynamic environment. Candidates should have a Bachelor’s or Master’s in a technical field and 5+ years of experience in relevant areas. Join a mission-driven team and influence product strategy from the outset.

Leistungen

Flexible work options

Supportive team culture

Competitive salary and stock option package

Qualifikationen

• 5+ years’ experience in product management, systems engineering, or data engineering.
• Prior involvement in simulation-based or technically complex software projects.
• Familiarity with modern AI / ML techniques.

Aufgaben

• Define the product vision, roadmap, and feature priorities.
• Lead the development lifecycle from concept to release.
• Work closely with AI engineers and software developers.

Kenntnisse

Analytical thinking

Strategic thinking

Communication

AI / ML techniques

Python

Ausbildung

Bachelor’s or Master’s degree in a technical or scientific discipline

Tools

Python

Jobbeschreibung

My client is an innovation-focused technology organisation developing AI-powered products that solve complex real-world engineering challenges. Operating at the intersection of machine learning, simulation, and product design, they are building advanced tools to accelerate progress across next-generation technologies.

About the Position

My client is seeking a Senior AI Engineer to lead the development of a new simulation-based software product. This solution is designed to support technical R&D teams by providing data-driven insights and AI-powered simulation capabilities.

In this role, you will own the product strategy and roadmap, define technical requirements, and ensure market alignment across a wide range of use cases. You will collaborate closely with internal AI teams and external stakeholders to translate complex technical needs into scalable solutions.

This is an opportunity to co-define a high-impact product from the ground up and contribute to a growing tech organisation delivering innovation at scale.

Key Responsibilities

Product Ownership

• Define the product vision, roadmap, and feature priorities.
• Lead the development lifecycle from concept to release.
• Translate stakeholder requirements into clear, actionable specifications.

Market & Technical Insight

• Stay on top of relevant market trends, regulatory changes, and competitor movements.
• Engage with users, partners, and domain experts to anticipate evolving needs.
• Ensure the product stays aligned with emerging technical and business use cases.

Cross-functional Collaboration

• Work closely with AI engineers and software developers to guide feature development.
• Act as a bridge between business goals and technical implementation.
• Identify new opportunities to expand the platform's capabilities.

Hands-on Involvement

• Support development planning and prioritisation.
• Participate in technical discussions and contribute to architecture and design decisions.
• Ensure timelines and delivery targets are met through structured workflows.

Qualifications

• Bachelor’s or Master’s degree in a technical or scientific discipline.
• 5+ years’ experience in product management, systems engineering, or data engineering.
• Prior involvement in simulation-based or technically complex software projects.
• Familiarity with modern AI / ML techniques and their real-world applications.
• Proficiency in Python and related tools.
• Strong analytical and strategic thinking skills.
• Excellent communication skills and the ability to simplify complex topics.
• Passion for innovation, emerging technology, and sustainable impact.
• Work with cutting-edge technologies in a high-growth environment.
• Join a collaborative, mission-driven team working on impactful products.
• Influence product strategy from an early stage.
• Flexible work options and supportive team culture.
• Competitive salary and stock option package.