Job Description
We are seeking a visionary Senior AI Architect & Future Tech Strategist to lead our engineering division into the next era of innovation. As we gear up to define the technology landscape for 2026 and beyond, you will be at the forefront of architecting the digital infrastructure that powers our next generation of products.
In this pivotal role, you won't just maintain systems; you will build the future. You will work closely with executive leadership to translate futuristic concepts into actionable technical strategies, ensuring our platform is scalable, secure, and ready for the demands of tomorrow.
Why Join Us?
- Shape the Future: Directly influence the 2026 technical roadmap and architectural standards.
- Top-Tier Compensation: Competitive base salary plus equity in a high-growth unicorn.
- Flexible Environment: Hybrid work model with a focus on results and autonomy.
- State-of-the-Art Tools: Access to the latest AI and quantum computing technologies.
Responsibilities
- Define and execute the long-term technical roadmap for the 2026 product cycle and enterprise infrastructure.
- Lead the architecture of complex distributed systems, ensuring high availability, scalability, and fault tolerance.
- Oversee the integration of advanced Machine Learning and Deep Learning models into core production environments.
- Mentor senior engineering teams and foster a culture of innovation, code excellence, and technical mentorship.
- Collaborate with product and business stakeholders to define technical feasibility for cutting-edge features.
- Conduct rigorous architectural assessments and code reviews to mitigate technical debt and security risks.
- Stay abreast of emerging technologies (AI, Quantum, Edge Computing) and evaluate their applicability to our business.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a senior or lead architecture role.
- Proven expertise in designing scalable systems using cloud-native technologies (AWS, Azure, or GCP).
- Deep knowledge of Artificial Intelligence, Machine Learning, and Deep Learning frameworks (PyTorch, TensorFlow, Keras).
- Strong experience in managing large-scale data pipelines, real-time processing, and big data technologies.
- Excellent communication skills, capable of bridging the gap between technical teams and non-technical stakeholders.
- Experience with Agile/Scrum methodologies and a track record of delivering high-impact projects on time and within budget.
- Experience with containerization and orchestration (Docker, Kubernetes).