Job Description
About Nexus Horizon Labs:
We are pioneering the next generation of artificial intelligence systems designed to shape the landscape of 2026 and beyond. As a leader in futuristic technology, we are seeking a visionary Senior AI Architect to define the architectural blueprints for our upcoming generative AI and predictive analytics platforms. You will be at the forefront of bridging theoretical AI research with scalable production environments.
The Role:
In this pivotal role, you will lead the technical strategy for our 2026 roadmap, ensuring our systems are robust, ethical, and capable of handling exponential data growth. You will collaborate with cross-functional teams to integrate advanced machine learning models into our core infrastructure.
Why Join Us?
- Future-Ready Technology: Work on cutting-edge AI infrastructure.
- Competitive Compensation: Comprehensive benefits package including health, dental, and vision.
- Remote & Hybrid Flexibility: Work from anywhere in the US with our hybrid-first culture.
Responsibilities
- Architect 2026 Roadmap: Define and lead the technical strategy for our AI infrastructure, specifically focusing on the development and integration of systems required for the year 2026.
- Model Development: Design and implement scalable deep learning and generative AI models that power our core product offerings.
- System Optimization: Oversee the deployment of large-scale machine learning systems, ensuring high performance, low latency, and cost efficiency.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI transparency, fairness, and compliance with emerging regulations.
- Technical Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive stakeholders and product teams.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Strategic Thinking: Demonstrated ability to think long-term and architect systems that scale with business growth.
- Communication: Exceptional verbal and written communication skills, with the ability to present technical strategies to non-technical audiences.
- Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.