Lead Cloud Solutions Architect (AI/ML)

TL;DR

Lead Cloud Solutions Architect (AI/ML): Leading and mentoring a team of Solutions Architects while overseeing and participating in technical engagements for AI/ML solutions. With an accent on customer success, optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on hirify.global cloud infrastructure. Focus on driving consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content, as well as shaping the product roadmap through customer needs representation.

Location: Remote from any EU country or office in Amsterdam.

Company

hirify.global is a global AI cloud computing company headquartered in Amsterdam, creating tools and resources to solve real-world AI and ML challenges.

What you will do

• Lead and mentor a team of Solutions Architects, fostering technical excellence and customer empathy.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on hirify.global cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

Requirements

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

Nice to have

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within hirify.global.
• Flexible working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.