Job Description
We are seeking a visionary Senior AI Architect to define the technological roadmap for our 2026 initiatives. At Nexus Future Systems, we are building the infrastructure that will power the next decade of human advancement. This is a rare opportunity to lead the architectural strategy for a company at the forefront of the AI revolution.
In this role, you will not just implement existing solutions; you will design the future. You will be responsible for overseeing the end-to-end machine learning lifecycle, from experimental research to scalable production deployment. You will work with a team of elite engineers to ensure our systems are robust, ethical, and ready for the demands of 2026 and beyond.
Responsibilities
- Design and implement scalable AI infrastructure and machine learning pipelines tailored for the 2026 product roadmap.
- Lead technical strategy sessions to evaluate emerging technologies such as Generative AI, Quantum Computing interfaces, and Predictive Analytics.
- Define best practices for data governance, model security, and ethical AI implementation across the organization.
- Mentor and guide junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product leadership to translate business objectives into high-level technical architectures.
- Conduct rigorous performance analysis and optimization to ensure real-time processing capabilities.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering, with at least 5 years specializing in AI/ML architecture and system design.
- Deep proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, or Azure).
- Strong experience with distributed systems, microservices, and high-availability architecture.
- Proven track record of deploying large-scale NLP or Computer Vision models in production environments.
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.