Job Description
Shape the Future of Intelligence
At Horizon Future Labs, we are not just building software; we are architecting the cognitive infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead the development of autonomous agent systems and next-generation generative models. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and ethical machine learning, this is your opportunity to lead a world-class engineering team.
As a core member of our R&D division, you will define the technical roadmap that will define the next decade of human-computer interaction.
Why Join Us?
- Impact: Work on projects that will redefine industry standards.
- Equity: Competitive stock options in a high-growth unicorn.
- Flexibility: Hybrid work model with a state-of-the-art innovation hub.
Responsibilities
- Design and architect scalable, fault-tolerant AI infrastructure capable of processing petabytes of synthetic data.
- Lead the research and implementation of Large Language Models (LLMs) and reinforcement learning frameworks tailored for autonomous decision-making.
- Establish and enforce best practices for data privacy, model interpretability, and AI ethics across all engineering squads.
- Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Collaborate with product managers to translate futuristic concepts into deployable, production-grade software solutions.
- Stay ahead of the curve on emerging technologies, including quantum machine learning and neuromorphic computing.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in a lead or architect role within AI/ML.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of statistical analysis, deep learning algorithms, and natural language processing.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.