Job Description
We are seeking a visionary Lead Futurist to architect the technological landscape for the year 2026. At OmniFuture Systems, we are not just predicting the future; we are building it. You will define the AI infrastructure and strategic roadmap that will drive our global operations, ensuring we remain at the forefront of innovation.
If you have a passion for cutting-edge technology and a proven track record in AI strategy, this is your opportunity to lead a high-impact team in one of the world's most dynamic tech hubs.
Responsibilities
- Define the 2026 Technology Roadmap: Create a comprehensive strategic vision for AI integration, including Generative AI and autonomous systems, aligned with business objectives.
- Lead R&D Initiatives: Spearhead research and development projects focused on next-generation predictive analytics and quantum-ready algorithms.
- Architect Scalable AI Systems: Design and oversee the deployment of robust machine learning models that scale to millions of users.
- Governance & Ethics: Establish strict ethical guidelines and compliance frameworks for AI usage, ensuring responsible innovation.
- Stakeholder Collaboration: Partner with C-suite executives and product teams to translate technical capabilities into business value.
- Team Leadership: Mentor senior engineering talent and foster a culture of continuous learning and technical excellence.
Qualifications
- Experience: 10+ years of experience in software architecture, AI research, or a related technical field.
- Education: Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Technical Expertise: Deep knowledge of Large Language Models (LLMs), Natural Language Processing (NLP), and cloud infrastructure (AWS/Azure/GCP).
- Strategic Mindset: Demonstrated ability to bridge the gap between theoretical innovation and practical, scalable implementation.
- Leadership: Proven experience leading cross-functional teams and managing high-stakes projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.