Solutions Architect

Join a fast-growing technology environment at the forefront of AI and cloud innovation, where you will help organizations design, implement, and optimize advanced cloud infrastructure and MLOps solutions. In this role, you will serve as a trusted technical advisor, guiding customers through the development of scalable AI and machine learning platforms. Working closely with cross‑functional teams, you will bridge technical expertise and business objectives, ensuring successful solution delivery and long‑term customer success. This position offers the opportunity to influence product adoption, support cutting‑edge AI workloads, and contribute to a collaborative international ecosystem. If you enjoy solving complex infrastructure challenges and helping customers unlock the full potential of cloud technologies, this role offers both impact and growth.

Accountabilities

• Serve as a trusted technical advisor to customers by providing expert guidance on cloud infrastructure, AI, and MLOps solutions throughout the customer lifecycle.
• Lead technical engagements including proof‑of‑concepts, workshops, training sessions, presentations, and architecture reviews to promote best practices and solution adoption.
• Collaborate with customers to understand business and technical requirements, translating them into scalable and efficient cloud architectures.
• Design, document, and implement Infrastructure‑as‑Code solutions while creating technical documentation and operational guidelines in collaboration with internal teams.
• Support customers in optimizing the performance, scalability, and resource utilization of AI and machine learning workloads.
• Act as the primary technical point of expertise for customer use cases, partnering with product, support, and marketing teams to drive successful outcomes.
• Contribute to technical marketing initiatives, including conferences, hackathons, webinars, workshops, and industry events.

Requirements

• 5+ years of experience in cloud architecture, system engineering, network engineering, software development, or a related technical field focused on cloud technologies.
• Strong hands‑on expertise with Infrastructure‑as‑Code and configuration management tools, particularly Terraform and/or Ansible.
• Solid experience working with Kubernetes and proficiency in Python programming.
• Deep understanding of GPU‑based computing environments for machine learning training and inference workloads.
• Knowledge of GPU software ecosystems, including drivers, CUDA, OpenCL, and related technologies.
• Excellent communication and presentation skills, with the ability to engage both technical and non‑technical stakeholders.
• Customer‑focused mindset with strong problem‑solving and relationship‑building capabilities.
• Experience with HPC or ML orchestration platforms such as Slurm or Kubeflow is a plus.
• Familiarity with deep learning frameworks including TensorFlow and PyTorch is advantageous.
• Knowledge of cloud‑based machine learning tools and platforms from leading providers such as NVIDIA, AWS, Microsoft Azure, and Google Cloud is beneficial.

Benefits

• Competitive compensation package.
• Strong career development and continuous learning opportunities.
• Flexible work arrangements that support work‑life balance.
• Collaborative, innovative, and high‑performing work environment.
• Opportunity to contribute to impactful AI and cloud technology projects.
• Exposure to international teams and diverse technical expertise.
• High level of autonomy, ownership, and influence in shaping technical solutions.
• Dynamic environment that encourages professional growth and innovation.