Job Description
Join the Vanguard of Tomorrow
Apex Future Tech is pioneering the next generation of generative intelligence, and we are looking for a visionary Lead AI Architect to define the 2026 roadmap. In this role, you will not just write code; you will architect the cognitive infrastructure that will power the digital world of the future. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), and ethical AI deployment, we want to meet you.
We offer a competitive compensation package, equity, and the opportunity to work in a collaborative environment that values innovation over convention. This is a high-impact role where your decisions will directly shape the trajectory of technology for the next decade.
Responsibilities
- Define and execute the technical architecture for the 2026 product suite, focusing on scalable AI infrastructure and edge computing integration.
- Lead a team of senior engineers and data scientists to develop proprietary models capable of autonomous reasoning and complex problem-solving.
- Oversee the end-to-end lifecycle of machine learning models, from experimental prototyping to production deployment on cloud-native platforms.
- Ensure architectural integrity and performance optimization for real-time data processing and low-latency inference systems.
- Collaborate with cross-functional product managers and legal teams to ensure AI compliance, safety, and ethical standards are met.
- Stay ahead of industry trends in Generative AI, Multimodal Learning, and Neuromorphic Computing.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Proven track record of leading high-performance teams and delivering large-scale machine learning systems.
- Strong understanding of NLP, Transformers, and vector databases.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.