Job Description
We are not just building software for today; we are architecting the infrastructure for the year 2026. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation research division. You will be at the forefront of the Future Tech revolution, developing scalable, autonomous systems that redefine industry standards. If you are passionate about the trajectory of AI and want to shape the landscape of 2026 and beyond, we want to meet you.
Why Join Us?
- Work on the 2026 AI Roadmap with cutting-edge emerging technologies.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities.
- Access to state-of-the-art hardware and research grants.
Key Responsibilities:
- Lead the architectural design for next-gen machine learning models and autonomous agents.
- Define the technical strategy for the 2026 product release cycle.
- Collaborate with cross-functional teams to integrate AI solutions into scalable products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Optimize system performance for real-time processing and low-latency inference.
- Conduct research into novel algorithms to solve complex, unstructured problems.
Qualifications:
- Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field.
- 7+ years of experience in AI, Machine Learning, or Deep Learning engineering.
- Expert proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS/GCP).
- Proven track record of deploying large-scale, production-ready AI models.
- Strong understanding of distributed systems, microservices, and data pipelines.
- Experience with emerging technologies such as Generative AI, Quantum Computing interfaces, or Neuromorphic engineering.
Benefits:
- Comprehensive health, dental, and vision insurance.
- Unlimited PTO and professional development stipends.
- 401(k) matching with immediate vesting.
Responsibilities
- Lead the architectural design for next-gen machine learning models and autonomous agents.
- Define the technical strategy for the 2026 product release cycle.
- Collaborate with cross-functional teams to integrate AI solutions into scalable products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Optimize system performance for real-time processing and low-latency inference.
- Conduct research into novel algorithms to solve complex, unstructured problems.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field.
- 7+ years of experience in AI, Machine Learning, or Deep Learning engineering.
- Expert proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS/GCP).
- Proven track record of deploying large-scale, production-ready AI models.
- Strong understanding of distributed systems, microservices, and data pipelines.
- Experience with emerging technologies such as Generative AI, Quantum Computing interfaces, or Neuromorphic engineering.