Job Description
We are on the precipice of a technological revolution. Apex Horizon Systems is seeking a visionary Senior Generative AI Architect to define the 2026 landscape of artificial intelligence. In this role, you won't just implement existing models; you will architect the next generation of multimodal AI systems that redefine human-machine interaction.
Join a elite team of researchers and engineers dedicated to pushing the boundaries of what is possible. You will work directly with our CTO to lead high-impact initiatives in large language models (LLMs), ethical AI, and autonomous agents. If you are driven by the challenge of building the future, this is your opportunity to lead.
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy scalable, high-performance generative AI models tailored for the 2026 operational environment.
- Lead R&D Initiatives: Spearhead research into emerging paradigms such as multi-modal reasoning and self-improving AI agents.
- Optimize Model Performance: Engineer efficient inference pipelines and reduce computational costs while maximizing output quality.
- Ensure Ethical AI: Implement rigorous safety protocols and bias mitigation strategies to ensure responsible deployment of AI technologies.
- Mentorship & Strategy: Guide a team of talented engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate Cross-Functionally: Partner with product and design teams to translate complex technical capabilities into user-centric solutions.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering, with a minimum of 4 years specifically focused on Deep Learning and Natural Language Processing (NLP).
- Technical Mastery: Expert proficiency in Python, PyTorch, or TensorFlow, with deep understanding of transformer architectures (BERT, GPT, T5).
- System Design: Proven track record of designing large-scale distributed systems capable of handling high-throughput, low-latency workloads.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions in fast-paced environments.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.