Job Description
Are you ready to shape the trajectory of technology in 2026 and beyond?
Horizon 2026 Solutions is looking for a visionary Lead AI Architect to join our elite team. We aren't just building software; we are architecting the cognitive infrastructure of tomorrow. If you thrive in high-stakes environments and have a passion for pushing the boundaries of Large Language Models and Autonomous Systems, this is your stage.
Why Join Us?
- Work on projects that redefine industry standards.
- Competitive compensation package with equity options.
- Unlimited PTO and top-tier health benefits.
Responsibilities:
- Lead the end-to-end design and implementation of scalable AI infrastructure.
- Optimize deep learning models for production environments, focusing on speed and accuracy.
- Collaborate with cross-functional teams to integrate AI capabilities into core product suites.
- Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
- Stay abreast of the latest research in Natural Language Processing (NLP) and Computer Vision.
Qualifications:
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 8+ years of professional experience in software engineering and AI/ML development.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Proven track record of deploying production-grade machine learning models.
Responsibilities
- Lead the end-to-end design and implementation of scalable AI infrastructure.
- Optimize deep learning models for production environments, focusing on speed and accuracy.
- Collaborate with cross-functional teams to integrate AI capabilities into core product suites.
- Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
- Stay abreast of the latest research in Natural Language Processing (NLP) and Computer Vision.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 8+ years of professional experience in software engineering and AI/ML development.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Proven track record of deploying production-grade machine learning models.