Job Description
We are at the forefront of the technological singularity, and we are looking for a visionary Future Tech Strategist to guide us through the pivotal year of 2026. In this role, you will bridge the gap between emerging AI capabilities and practical enterprise implementation, ensuring our architecture is future-proof.
Why Join Us?
This is an opportunity to define the technology stack of tomorrow. You will work with a world-class team of engineers and data scientists to integrate agentic AI workflows, quantum-ready databases, and next-gen user interfaces.
Responsibilities
- Define the 2026 Technical Roadmap: Lead the strategic planning for infrastructure evolution, specifically targeting the technological milestones expected in 2026.
- Architect Agentic Systems: Design scalable architectures that leverage autonomous AI agents to automate complex business workflows.
- Emerging Tech Evaluation: Continuously research and evaluate emerging technologies (e.g., advanced LLMs, spatial computing) and prototype viable solutions.
- Cloud & Infrastructure Strategy: Oversee the migration to next-gen cloud environments, ensuring high availability and zero-trust security protocols.
- Cross-Functional Leadership: Collaborate with product and design teams to translate futuristic concepts into actionable technical specifications.
- Legacy Modernization: Spearhead initiatives to decompose monolithic systems into microservices that are compatible with future AI integration.
Qualifications
- Experience: 8+ years of experience in software architecture, with at least 3 years in a strategic or leadership role.
- Technical Expertise: Deep knowledge of distributed systems, cloud-native architecture (AWS/Azure/GCP), and API design.
- AI Proficiency: Strong understanding of Large Language Models (LLMs), vector databases, and the integration of AI into production environments.
- Strategic Vision: Proven ability to anticipate industry trends and translate them into long-term technical strategies.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.