Job Description
We are on a mission to engineer the future. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of next-generation intelligent systems for our 2026 roadmap.
In this pivotal role, you will define the architectural blueprints for scalable, ethical, and high-performance AI models. You will bridge the gap between theoretical research and practical deployment, ensuring our solutions remain at the forefront of the industry.
Why Join Us?
- Work on cutting-edge Generative AI and LLM integration.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
- Opportunity to define the technical strategy for 2026 and beyond.
Responsibilities
- Architectural Leadership: Design and implement robust, scalable AI infrastructure tailored for high-volume production environments.
- Model Strategy: Lead the selection and optimization of deep learning frameworks (e.g., PyTorch, TensorFlow) to drive product innovation.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into technical roadmaps.
- R&D Innovation: Explore emerging AI paradigms, including Reinforcement Learning and Computer Vision, to maintain a competitive edge.
- Mentorship: Foster a culture of technical excellence by mentoring junior developers and conducting code reviews.
- Compliance & Ethics: Ensure all AI deployments adhere to industry standards for data privacy, bias mitigation, and ethical AI usage.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional software engineering experience with a strong focus on Machine Learning and AI.
- Technical Skills: Deep proficiency in Python, SQL, and distributed systems. Hands-on experience with cloud platforms (AWS/GCP/Azure) is required.
- Frameworks: Proven track record of deploying models at scale using PyTorch, TensorFlow, or JAX.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize model inference latency.
- Communication: Strong written and verbal communication skills, capable of articulating complex technical concepts to non-technical stakeholders.