Job Description
Are you ready to architect the intelligence that will define the year 2026 and beyond? Apex Systems Future Tech is seeking a visionary Lead AI Architect to lead our research and development division. In this pivotal role, you will design scalable, robust, and ethically aligned AI systems that push the boundaries of generative models and neural networks.
We are looking for a leader who understands not just the code, but the strategic impact of Artificial General Intelligence (AGI) on global industries. If you thrive in a fast-paced, high-impact environment and want to build the infrastructure of tomorrow, apply today.
Responsibilities
- Architectural Leadership: Define the high-level technical vision and strategy for our next-generation AI platforms, focusing on scalability and performance.
- Model Development: Oversee the research, design, and implementation of advanced machine learning models, including large language models and computer vision systems.
- Team Mentorship: Guide a team of top-tier data scientists and engineers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate complex AI capabilities into practical, market-ready solutions.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI systems are fair, transparent, and accountable.
- Infrastructure Management: Optimize cloud infrastructure and deployment pipelines to handle high-volume data processing in real-time.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering with at least 5 years in a senior AI/ML architecture role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing systems (Kubernetes, AWS, GCP).
- Leadership: Proven track record of leading high-performing engineering teams and managing complex technical projects.
- Innovation: Deep understanding of current trends in Generative AI, NLP, and Deep Reinforcement Learning.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.