Job Description
Are you ready to architect the future?
Nexus Horizons is pioneering the technology landscape for the year 2026. We are seeking a visionary Senior AI Architect to lead our cutting-edge research and development division. If you are passionate about the intersection of Artificial Intelligence, Generative Models, and scalable cloud infrastructure, this is your opportunity to define the next decade of technological evolution.
In this role, you will not just write code; you will define the roadmap for our 'Vision 2026' initiative, ensuring our solutions are robust, ethical, and future-proof.
Responsibilities
- Architect Future-Proof Solutions: Design and implement scalable machine learning pipelines and AI architectures that align with the strategic 'Vision 2026' roadmap.
- Lead Innovation: Spearhead research in emerging AI technologies, including LLMs, reinforcement learning, and autonomous agents.
- Technical Governance: Establish best practices for code quality, model deployment, and ethical AI usage across the organization.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering teams to translate complex business requirements into technical realities.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Performance Optimization: Continuously monitor and optimize model latency, accuracy, and resource utilization in production environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architectural or lead role.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Strategic Mindset: Proven track record of defining technical roadmaps and leading long-term technical projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.