Job Description
Are you ready to define the technological landscape of 2026? Apex Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation strategic initiatives. We are building the infrastructure for the future, and we need a thought leader who can bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. If you are passionate about Generative AI, Spatial Computing, and the roadmap that defines the next decade of tech, this is your opportunity to lead from the front.
Responsibilities
- Define the 2026 Strategic Vision: Architect and drive the long-term AI roadmap, ensuring alignment with company goals and emerging industry trends.
- Lead High-Impact Engineering: Mentor and lead a team of top-tier data scientists and ML engineers to build robust, scalable AI models.
- Model Architecture Design: Design and optimize complex neural network architectures for generative tasks, predictive analytics, and autonomous systems.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate technical roadmaps into user-centric products.
- Research & Innovation: Stay ahead of the curve on cutting-edge research papers (e.g., Transformer models, reinforcement learning) and implement novel solutions.
- Infrastructure & Scale: Oversee the deployment of AI models on cloud infrastructure, ensuring high availability, security, and performance.
- Ethical AI Governance: Establish frameworks for ethical AI usage, ensuring fairness, transparency, and compliance with regulatory standards.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering and 4+ years of specialized experience in designing and deploying AI/ML systems.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Deep Learning principles and NLP.
- Leadership: Proven track record of leading engineering teams and managing large-scale technical projects.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems and translate them into clear architectural solutions.
- Communication: Excellent written and verbal communication skills, capable of presenting technical concepts to non-technical stakeholders.
- Tools: Proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).