Job Description
We are building the infrastructure for the year 2026 and beyond. At OmniFuture Technologies, we are not just adapting to the future; we are architecting it. We are seeking a visionary Director of AI Strategy to lead our mission-critical initiatives, defining the technological landscape for the next decade.
In this high-impact role, you will bridge the gap between theoretical artificial general intelligence (AGI) and practical, scalable enterprise solutions. You will oversee the development of our 2026 roadmap, ensuring our AI architectures are robust, ethical, and ready to lead the market.
Why join us?
- Shape the future of technology with a world-class engineering team.
- Work on cutting-edge projects in generative AI and autonomous systems.
- Competitive compensation package including equity.
- Flexible remote-first culture with hubs in San Francisco and Austin.
Responsibilities
- Define and execute the 2026 Technology Roadmap, prioritizing AI integration and scalability.
- Lead the architectural design of our next-generation neural networks and machine learning systems.
- Collaborate with C-suite executives to align AI initiatives with business growth objectives.
- Mentor senior engineering leaders and foster a culture of innovation and ethical AI development.
- Oversee the deployment of predictive models that drive revenue and operational efficiency.
- Identify emerging tech trends (e.g., quantum computing, edge AI) and evaluate their relevance to our product lines.
Qualifications
- 10+ years of experience in Software Engineering, Data Science, or Technical Management.
- Proven track record of leading AI strategy in a Fortune 500 or high-growth startup environment.
- Deep technical expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Strong understanding of machine learning lifecycle, MLOps, and cloud infrastructure (AWS/GCP).
- Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
- Master’s degree or PhD in Computer Science, Machine Learning, or a related field is preferred.