AI Solution Engineer

Sphere; München; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

An innovative engineering firm in Germany is seeking an AI Solution Engineer to develop scalable AI-driven software solutions. The ideal candidate will have a Master's degree in Computer Science or a related field, advanced skills in Python, and expertise in AI domains such as Generative AI and Computer Vision. This position offers a collaborative work environment, flexible hours, and the chance to influence real-world applications of AI technology.

Leistungen

Flexible working hours

High-impact role

Dynamic work environment

Qualifikationen

• Master’s or higher in relevant field with experience in enterprise-scale AI solutions.
• Deep expertise across AI domains like Generative AI and Computer Vision.
• Advanced proficiency in Python with strong command of software design patterns and API design.

Aufgaben

• Develop scalable AI solutions integrated with enterprise data and cloud infrastructure.
• Establish MLOps standards and pipelines for model training and deployment.
• Translate complex business needs into technical blueprints for stakeholders.

Kenntnisse

AI-driven software solutions

Python

AI frameworks (PyTorch, TensorFlow)

MLOps ecosystems

Ausbildung

Master’s in Computer Science or related field

Tools

AWS

GCP

Azure

Jobbeschreibung

ABOUT THE POSITION

We are looking for an experienced AI Solution Engineer to join our growing team and help design, and deploy robust AI software solutions for our clients. You will lead and deliver high-impact AI projects in collaboration with renowned clients in the European industry. You will work hands-on with multi-modal datasets, build predictive models, and develop AI-driven products to support operations and gain efficiencies across business units. Your role will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions to building robust AI architectures which incorporate state‑of‑art technology and best practices to deliver client solutions. This is more than a job — it’s an opportunity to help shape the future of our company and drive innovation.

ABOUT SPHERE ENERGY

We are a young, dynamic and technology‑driven company, committed to developing targeted AI‑driven solutions that revolutionize the development of products in the broad field of engineering.

Tasks

KEY RESPONSIBILITIES

• Develop scalable AI‑driven software solutions and design end‑to‑end systems that integrate seamlessly with enterprise data and cloud infrastructure.
• Establish MLOps standards and reusable pipelines, ensuring clean, maintainable code for model training, deployment, and monitoring.
• Translate complex business requirements into technical blueprints, bridging the gap between data science exploration and production engineering.
• Advise stakeholders on technical strategy, clearly communicating architectural tradeoffs regarding cost, latency, and performance.

Requirements

QUALIFICATIONS

• Master’s in Computer Science, Data Science, Machine Learning, or a related field with experience in designing enterprise‑scale AI solutions.
• Deep architectural expertise across AI domains—specifically within Generative AI, Computer Vision, or complex predictive modeling.
• Advanced proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), with a strong command of software design patterns, microservices architecture, and API design.
• Expertise in designing robust MLOps ecosystems, including defining standards for CI/CD, model governance, security compliance, and infrastructure orchestration on cloud platforms (AWS, GCP, Azure).
• Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams, conducting code/design reviews, and enforcing engineering excellence.
• Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership.

Benefits

WHAT WE OFFER

• The opportunity to drive leading technology solutions in real‑world applications
• A high‑impact, client‑facing role with real responsibility and room for initiative
• A collaborative and dynamic work environment that values vision and impact
• Opportunity to actively contribute to a young company’s growth
• Flexible working hours and hybrid work models

HOW TO APPLY

If you’re excited to shape the future of battery technology and drive real change with leading industry players, please share your resume and an additional cover letter.