Job Description
Are you ready to define the technology landscape of 2026?
Vertex Horizon Solutions is at the forefront of innovation, building the autonomous systems and generative AI models that will power the future. We are seeking a visionary Senior AI Architect to lead our research and engineering division. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Multi-Agent Systems, this is your opportunity to shape the industry standard.
Why Join Us?
- Future-Proof Your Career: Work on cutting-edge technologies expected to dominate the market in 2026 and beyond.
- Impact: Your code will directly influence the next generation of intelligent digital ecosystems.
- Equity Package: Comprehensive stock options and performance bonuses.
We are looking for a technical leader who thrives in ambiguity and is obsessed with creating scalable, efficient, and ethical AI solutions.
Responsibilities
- Architect Advanced AI Systems: Design and implement scalable architectures for Generative AI and Autonomous Agent workflows targeting deployment in 2026.
- Model Optimization: Lead initiatives to optimize model inference, reduce latency, and minimize hallucinations in production environments.
- R&D Leadership: Conduct cutting-edge research in NLP, Reinforcement Learning from Human Feedback (RLHF), and multimodal learning.
- Technical Mentorship: Mentor a team of high-performing engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Define technical roadmaps that align with the company's long-term vision for the 2026 technological landscape.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into robust engineering solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning, AI, or Software Engineering, with at least 2 years in a lead or architect role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- System Design: Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- LLM Expertise: Demonstrated experience fine-tuning Large Language Models or developing Retrieval-Augmented Generation (RAG) pipelines.
- Problem Solving: Exceptional analytical skills with a proven track record of solving complex, unstructured problems.