Job Description
Are you ready to architect the future of technology in 2026?
Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our strategic initiatives for the upcoming year. As we prepare for the next generation of autonomous systems and generative intelligence, you will be at the forefront of defining the infrastructure that powers our enterprise solutions. This is not just a job; it is a mission to shape the technological landscape of 2026 and beyond.
We offer a competitive compensation package, equity opportunities, and an environment that fosters innovation and technical excellence.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning architectures tailored for the specific demands of 2026 workloads, including edge computing and large-scale inference.
- Lead Model Development: Spearhead the development of proprietary Large Language Models (LLMs) and computer vision systems, ensuring high accuracy and low latency.
- Strategic Roadmapping: Collaborate with the C-suite to define the technical roadmap for 2026, identifying emerging trends such as Neural Processing Units (NPUs) and neuromorphic computing.
- Optimization & Efficiency: Drive initiatives to reduce model inference costs by 40% while improving throughput using advanced quantization and pruning techniques.
- Cross-Functional Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of continuous learning and technical rigor.
- Ethical AI Implementation: Establish governance frameworks to ensure AI deployment aligns with safety and ethical standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming. Deep understanding of distributed computing systems (Kubernetes, Docker).
- Domain Knowledge: Strong background in NLP, Deep Reinforcement Learning, or Generative Adversarial Networks (GANs).
- Problem Solving: Proven track record of solving complex technical challenges in high-pressure environments.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.