Job Description
We are looking for a visionary Strategic AI Architect to define the technological roadmap for 2026 and beyond. At Apex Horizon Systems, we are building the infrastructure of tomorrow, and you will be the mastermind behind our next-generation intelligent ecosystems.
In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable enterprise deployment. You will shape how our AI systems evolve, ensuring we remain at the forefront of the industry by 2026. If you are passionate about the future of Artificial General Intelligence (AGI) and possess the technical prowess to lead complex architectural initiatives, we want to hear from you.
Responsibilities
- Lead the architectural design and development of core AI models and infrastructure aimed at the 2026 product launch.
- Define and execute a long-term technology roadmap, identifying emerging trends in Generative AI and predictive analytics.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Ensure system scalability, security, and high availability across distributed cloud environments.
- Oversee the integration of next-gen APIs and neural network optimization techniques.
- Mentor senior engineering staff and establish coding and architectural standards for the team.
- Conduct rigorous performance testing and feasibility studies for 2026 infrastructure projects.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in designing scalable architectures for large-scale machine learning systems.
- Proficiency in programming languages such as Python, Java, or C++, with strong knowledge of TensorFlow, PyTorch, or similar frameworks.
- Proven track record of leading technical teams through complex digital transformations.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).