Job Description
Are you ready to build the systems that will define the technological landscape of 2026 and beyond? Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research division. In this pivotal role, you won't just use AI; you will architect the next generation of generative intelligence, ensuring our solutions are scalable, ethical, and revolutionary.
We are looking for a technologist who thrives on ambiguity and possesses the deep expertise to turn complex algorithms into seamless user experiences. If you are passionate about the future of technology and want to leave a lasting legacy in the industry, this is your opportunity.
Responsibilities
- Architect Advanced Models: Lead the design and development of proprietary Large Language Models (LLMs) and multimodal AI systems tailored for enterprise scalability.
- Research & Innovation: Push the boundaries of current AI capabilities by exploring novel architectures, reinforcement learning, and ethical AI frameworks.
- System Optimization: Oversee the full machine learning lifecycle (MLOps), ensuring model training, deployment, and monitoring meet high-performance standards.
- Technical Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Integration: Collaborate with product and engineering teams to integrate AI solutions into complex software ecosystems seamlessly.
- Ethical AI Compliance: Ensure all AI systems adhere to global privacy regulations and bias-reduction standards.
Qualifications
- Experience: 7+ years of professional experience in software engineering, machine learning, or data science.
- Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Architecture Skills: Proven track record of designing distributed systems and high-availability applications.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.
- Tools: Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker/Kubernetes).