Job Description
We are looking for a visionary Future-Ready AI Systems Architect to spearhead our 2026 technology roadmap. As the tech landscape accelerates, we need a thought leader who can bridge the gap between cutting-edge AI research and scalable, production-grade infrastructure.
In this pivotal role, you will define the architectural standards that will power our next-generation products. You will work at the intersection of machine learning, cloud infrastructure, and strategic foresight, ensuring our systems are resilient, scalable, and ready for the demands of the future.
Why Join Us?
- Work on the frontier of Generative AI and autonomous systems.
- Competitive salary and equity package ($160k - $240k).
- Flexible remote-first culture with a focus on innovation.
- Opportunity to shape the 2026 vision of the industry.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic planning for technological evolution, identifying emerging trends in AI and cloud computing.
- Architect Scalable Systems: Design and implement high-availability, distributed systems capable of handling petabyte-scale data loads.
- ML Infrastructure: Build and optimize MLOps pipelines, ensuring seamless deployment and monitoring of machine learning models.
- Lead & Mentor: Guide a team of senior engineers and data scientists, fostering a culture of technical excellence.
- Security & Compliance: Implement rigorous security protocols and ensure all systems adhere to industry standards (GDPR, SOC2).
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML infrastructure.
- Technical Skills: Deep expertise in Python, Go, and distributed systems. Proficiency with Kubernetes, Docker, and AWS/GCP.
- Education: Master’s degree or PhD in Computer Science, AI, or a related technical field.
- Strategic Mindset: Ability to translate business goals into technical roadmaps with a focus on the year 2026 and beyond.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.