Job Description
We are looking for a visionary Senior AI Architect to define the technological landscape for the 2026 era. At Nexus Future Labs, we are not just building software; we are architecting the future. You will lead the strategic integration of Artificial Intelligence into our core products, ensuring our solutions remain at the forefront of innovation.
In this role, you will bridge the gap between complex data science and scalable engineering, guiding a world-class team in building robust, ethically sound, and high-performance AI systems. If you are passionate about the trajectory of AI and want to be the mastermind behind our 2026 roadmap, we want to meet you.
Responsibilities
- Define and execute the comprehensive AI strategy for 2026, aligning technical roadmaps with business objectives.
- Architect scalable machine learning pipelines and deep learning models that can handle enterprise-level data volumes.
- Lead the research and development of novel AI algorithms, focusing on NLP, Computer Vision, and Predictive Analytics.
- Mentor and guide a team of data scientists and engineers, fostering a culture of technical excellence and innovation.
- Collaborate with cross-functional stakeholders to translate business requirements into technical specifications.
- Ensure the ethical use of AI, implementing robust governance and bias mitigation strategies.
- Stay ahead of emerging AI trends and evaluate new technologies to maintain our competitive edge.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (e.g., Kubeflow, MLflow).
- Proven track record of deploying large-scale AI models into production environments.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and distributed systems.
- Exceptional leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
- Passion for the future of technology and a clear vision for AI's role in society.