Job Description
We are at the precipice of the next technological revolution, gearing up for the transformative year of 2026. Apex Horizon Technologies is seeking a visionary Lead AI Architect to architect the neural networks that will power the next generation of autonomous systems and generative intelligence.
In this pivotal role, you won't just be maintaining legacy systems; you will be building the infrastructure for tomorrow. You will lead a team of elite engineers in deploying next-generation Large Language Models (LLMs) and optimizing edge computing for global scalability. If you are driven by the challenge of defining the standards for the future, this is your opportunity to lead from the front lines.
Why Join Us?
- Work on cutting-edge projects that define the roadmap for 2026 and beyond.
- Competitive equity package and top-tier healthcare benefits.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- System Architecture: Design and oversee the end-to-end architecture of high-scale AI infrastructure, ensuring resilience, security, and performance.
- Generative AI Integration: Lead the integration of Generative AI models into core business workflows, optimizing for latency and accuracy.
- Team Leadership: Mentor a high-performing engineering team, conducting code reviews, architecture reviews, and fostering a culture of continuous innovation.
- R&D Strategy: Identify and prototype emerging technologies (e.g., Quantum-inspired algorithms, Neuromorphic computing) relevant to the 2026 timeline.
- Model Optimization: Apply advanced techniques (Quantization, Distillation, Pruning) to reduce inference costs and improve model efficiency.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a minimum of 3 years in AI/ML architecture leadership.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Ray).
- AI Expertise: Deep understanding of NLP, Transformer architectures, and RAG (Retrieval-Augmented Generation) systems.
- Leadership: Proven track record of managing cross-functional teams and delivering complex projects on tight deadlines.