Job Description
We are seeking a visionary Senior AI Vision Architect to lead our mission into the next decade. As we prepare for the technological paradigm shift of 2026, you will design the neural infrastructure that powers our next-generation predictive models. This is not just a job; it is an opportunity to define the future of intelligent automation.
At Nexus Core, we believe in pushing the boundaries of what is possible. You will work in a cutting-edge environment where creativity meets scalability, ensuring our AI solutions are not only robust but ethically sound and future-proof.
Responsibilities
- Architect Scalable AI Systems: Design and implement advanced machine learning pipelines capable of processing petabytes of data with real-time latency.
- Strategic Roadmapping: Define the technical roadmap for 2026, identifying emerging technologies and integrating them into our core architecture.
- Model Optimization: Lead the research and development of large language models and computer vision algorithms to enhance product performance.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and stakeholders to translate complex technical requirements into actionable business solutions.
- Ethical AI Governance: Establish frameworks for responsible AI, ensuring transparency, fairness, and bias mitigation in all deployed models.
- Talent Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field from a top-tier university.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
- Cloud Expertise: Deep understanding of cloud architecture (AWS, Azure, or GCP) and serverless computing paradigms.
- Leadership: Proven track record of leading high-performance teams and delivering complex technical projects on time.
- Problem Solving: Exceptional analytical skills with a demonstrated ability to solve unstructured problems in dynamic environments.