Job Description
We are looking for a visionary Senior AI Architect to lead our 2026 Strategic Initiative. At Apex Horizon Systems, we are building the infrastructure that will define the next decade of human-machine interaction. This is not just a development role; it is a strategic leadership position where you will shape the ethical and technical foundations of our upcoming product lines.
In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work directly with the C-suite to define the roadmap for 2026, focusing on Generative AI, Autonomous Agents, and Quantum-Ready Neural Networks. If you are passionate about the future and want to build systems that solve complex problems before they exist, we want to hear from you.
Why Join Us?
- Be at the forefront of the 2026 technological revolution.
- Competitive compensation and equity packages.
- Flexible work environment in the heart of San Francisco.
- Access to cutting-edge computing resources.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the technical vision for upcoming AI products, ensuring alignment with long-term business goals.
- Design Scalable Architecture: Design and implement robust, scalable AI systems capable of handling high-throughput data streams and complex computations.
- Model Optimization: Research and implement state-of-the-art optimization techniques to improve model latency, accuracy, and energy efficiency.
- Ethical AI Governance: Establish and enforce guidelines for ethical AI usage, bias mitigation, and data privacy in all AI deployments.
- Cross-Functional Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Technical Strategy: Evaluate emerging technologies (e.g., neuromorphic computing, edge AI) and integrate viable solutions into our stack.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Strategic Vision: Demonstrated ability to translate high-level concepts into concrete technical strategies and product roadmaps.
- Leadership: Proven track record of leading engineering teams and managing cross-functional projects.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.