Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Horizon is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for 2026 and beyond. We are building the next generation of autonomous systems and generative AI tools that will redefine human-machine interaction in the enterprise sector.
In this pivotal role, you will bridge the gap between theoretical machine learning research and production-grade software engineering. You will work alongside a world-class team of data scientists, engineers, and product strategists to deploy scalable AI solutions that drive measurable business impact.
Why Join Us?
- Future-Forward Impact: Shape the roadmap for AI technologies that will define the 2026 landscape.
- Competitive Compensation: Comprehensive benefits package including equity options.
- Flexible Work Environment: Hybrid model based in the heart of San Francisco.
We are looking for individuals who are not just proficient in tools, but who possess a deep intuition for algorithmic logic and ethical AI implementation.
Responsibilities
- Model Development: Design, train, and optimize large-scale machine learning models (LLMs, NLP, Computer Vision) to solve complex business problems.
- Infrastructure Engineering: Build and maintain robust MLOps pipelines using cloud-native technologies (AWS/GCP) to ensure model scalability and reliability.
- Research & Innovation: Stay at the forefront of AI advancements, researching emerging architectures and methodologies to integrate into our product suite.
- Code Review & Mentorship: Lead technical architecture reviews and mentor junior engineers, fostering a culture of code excellence and continuous learning.
- Data Strategy: Collaborate with data engineering teams to ensure high-quality data ingestion and feature engineering workflows.
- Ethical AI: Implement guardrails and fairness checks to ensure AI outputs are safe, unbiased, and compliant with industry regulations.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
- Experience: 5+ years of professional experience in software engineering with a heavy emphasis on machine learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong experience with vector databases (e.g., Pinecone, Milvus) and distributed computing.
- System Design: Demonstrated ability to design scalable microservices and API architectures for AI workloads.
- Problem Solving: Exceptional analytical skills with a track record of turning abstract data into actionable insights.
- Communication: Ability to translate complex technical concepts for non-technical stakeholders effectively.