AI Infrastructure Architect

We are seeking a seasoned and hands-on Data Engineering Professional to spearhead the development of our next-generation analytics tools. This role will lead the architecture and development of our platform, ensuring seamless integration of front-end and back-end technologies while guiding a multidisciplinary team toward building robust and intuitive products.

• Design, architect, and develop an AI-first platform, integrating front-end and back-end technologies to deliver advanced analytics tools.
• Drive R&D efforts in AI, identifying and implementing new AI techniques, models, and technologies that can enhance our platform's capabilities.
• Develop and deploy advanced AI models and algorithms, including machine learning, deep learning, and reinforcement learning techniques, to solve complex infrastructure challenges and provide actionable insights to customers.
• Define and drive the AI strategy, aligning it with overall product and business goals, and ensure it meets the evolving needs of our customers and market.
• Guide and mentor a team of developers, data scientists, and UX designers, fostering a culture of collaboration, innovation, and excellence.
• Develop and deploy machine learning models and AI solutions, ensuring scalability, performance, and maintainability.
• Monitor industry trends and emerging technologies, applying this knowledge to innovate and enhance our platform capabilities.
• Collaborate with cross-functional teams to ensure alignment between technical execution and business goals.
• Manage relationships with key stakeholders, acting as a bridge between technical teams and external partners to ensure effective communication and alignment.
• Promote a positive and collaborative team environment across multiple geographies, developing strong working relationships.
• Ensure all AI solutions are developed following ethical guidelines and data governance standards, promoting transparency, fairness, and accountability.

• Bachelor's degree in Computer Science (or related field) or equivalent professional experience.
• 7+ years of development experience, with a strong focus on AI and machine learning.
• 4+ years of experience in AI engineering or machine learning roles, with a strong focus on deploying models in production environments.
• Experience in leading AI R&D efforts, from ideation to deployment of AI models and solutions.
• Advanced programming skills in Python, R, or similar languages, with experience in developing and deploying AI models.
• Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Proven experience in application integration and development with Large Language Models and Generative AI.
• Proven ability to apply advanced AI techniques, such as deep learning, reinforcement learning, and neural networks.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Experience with cloud platforms and containerisation tools.
• Strong track record of working effectively in distributed team environments across multiple geographies.
• Experience leading cross-functional teams and driving AI projects from inception to deployment.
• Experience in developing AI agents, with a portfolio of relevant projects.
• Strong communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Familiarity with the challenges and opportunities of the telecom, infrastructure, and analytics industries.
• Willingness to travel as business requires.
• Knowledge in mathematics, statistics, calculus, and physics.

• A leader and doer with a hands-on approach, who leads by example and is not afraid to dive into the technical details.
• Passion for AI, big data, and infrastructure.
• Someone who thrives in a fast-paced, evolving environment and able to manage multiple priorities effectively.
• A strategic thinker who is also action-oriented, with a strong internal drive to innovate and build impactful solutions.
• Able to work seamlessly with internal teams and external stakeholders to drive platform development.
• Skilled at articulating complex ideas clearly and convincingly to diverse audiences.

• Growth Opportunities: Access to continuous learning opportunities to help you advance your skills and career.
• Comprehensive Benefits: Health insurance, pension contributions, and additional support for your well-being and professional development.
• Paid Travel Benefits: One paid round trip per year to your home country and all business-related travel covered by the company.
• Dynamic Work Environment: A culture that fosters innovation, collaboration, and the freedom to explore and experiment with new ideas.
• Flexible Work Arrangements: Options to work remotely or from our offices, ensuring you have the flexibility to balance your personal and professional life.
• A Mission-Driven Team: Join a passionate, diverse group of individuals dedicated to creating meaningful change in the infrastructure and analytics industry.