AI Summary
Seeking an AI/ML Specialist Solutions Architect in Europe to design and implement large-scale AI solutions for enterprise clients. You will act as a technical advisor, translating business needs into scalable cloud architectures and optimizing ML workflows. This role offers a unique opportunity at the intersection of cloud innovation, AI research, and real-world impact.
Key Highlights
Design and implement customer-centric AI/ML architectures on cloud infrastructure.
Optimize distributed training pipelines and GPU-based computing environments.
Collaborate with clients and internal teams to drive solution adoption and product roadmaps.
Build and maintain long-term client relationships.
Support AI inference system deployment and production ML pipeline optimization.
Technical Skills Required
Benefits & Perks
Competitive salary
Comprehensive benefits package
Fully remote flexibility within the EU
Option to work on-site
Professional growth opportunities
Access to cutting-edge AI and cloud technologies
Collaborative and innovative work environment
Dynamic team culture
Work-life balance and flexibility
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Specialist Solutions Architect in Europe.
As an AI/ML Specialist Solutions Architect, you will play a key role in helping enterprise clients design and implement large-scale AI solutions that leverage advanced cloud infrastructure. You'll act as a trusted technical advisor—translating complex business needs into scalable architectures and optimizing machine learning workflows across distributed environments. Working alongside experienced engineers and product teams, you'll enable customers to build and deploy cutting-edge AI models efficiently and securely. This role offers a unique opportunity to operate at the intersection of cloud innovation, AI research, and real-world impact.
Accountabilities:
- Design and implement customer-centric AI and ML architectures that maximize scalability, performance, and business value
- Partner with clients to develop and optimize distributed training pipelines across multi-node, multi-GPU environments
- Deliver technical presentations, whitepapers, webinars, and manuals for both technical and non-technical audiences
- Collaborate with engineering and product teams to relay customer feedback and influence product roadmaps
- Build and maintain long-term client relationships, ensuring satisfaction and successful solution adoption
- Support the deployment and optimization of AI inference systems and production ML pipelines
- At least 3 years of experience in cloud technologies related to MLOps, ML engineering, or similar domains
- Strong understanding of machine learning ecosystems, including frameworks, tooling, and real-world use cases
- Proven expertise in distributed training and GPU-based computing environments
- Hands-on experience with PyTorch, TensorFlow, or JAX for model training and optimization
- Solid grasp of containerization and orchestration tools such as Docker, Kubernetes, and Slurm
- Proficiency in one or more programming languages: Python, Go, Java, or C++
- Experience with Terraform or other Infrastructure as Code (IaC) tools
- Excellent communication and problem-solving skills, with the ability to engage diverse technical audiences
- Bonus: Experience deploying inference infrastructure for production workloads and scaling ML pipelines from proof-of-concept to production
- Competitive salary and a comprehensive benefits package
- Fully remote flexibility from anywhere within the EU, with the option to work on-site if preferred
- Professional growth opportunities, including access to cutting-edge AI and cloud technologies
- A collaborative and innovative work environment that values initiative, creativity, and technical excellence
- Dynamic team culture, working alongside some of the most skilled engineers and AI specialists in the field
- Work-life balance and flexibility, allowing you to thrive both personally and professionally
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!