Job Description
At Apex Future Systems, we aren't just building software for today; we are engineering the reality of 2026 and beyond. We are looking for a visionary 2026 AI Systems Architect to lead the design of our next-generation Agentic AI infrastructure. This is not a standard engineering role; it is a high-stakes, high-impact position defining the trajectory of autonomous systems.
You will be at the forefront of integrating Generative AI, Edge Computing, and Predictive Analytics into a cohesive, scalable ecosystem. If you are passionate about solving complex problems and have the technical prowess to build the systems that will define the next decade, we want to hear from you.
Responsibilities
- Architect and deploy scalable, fault-tolerant AI infrastructures designed for the demands of 2026.
- Lead the research and implementation of next-generation Large Language Model (LLM) orchestration and fine-tuning strategies.
- Collaborate with cross-functional teams to integrate AI agents into complex enterprise workflows.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ensure ethical AI standards, data privacy compliance, and bias mitigation in all system designs.
- Optimize model inference latency and resource utilization to support real-time applications.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep proficiency in Python, PyTorch, or TensorFlow, and experience with distributed computing frameworks (Kubernetes, AWS, GCP).
- Proven track record of deploying successful AI products to production environments.
- Strong understanding of NLP, Computer Vision, and Reinforcement Learning.
- Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.