Job Description
The Opportunity: OmniFuture Systems is pioneering the infrastructure for the next decade. As we approach the critical milestones of 2026, we are seeking a visionary Lead AI Architect to define the architecture of our autonomous intelligence systems. You will be at the forefront of the AGI (Artificial General Intelligence) transition, building scalable, secure, and efficient machine learning platforms that will redefine human-computer interaction.
Why Join Us? We offer competitive compensation, equity packages, and the chance to work on problems that matter. Our engineering culture is rooted in curiosity, speed, and excellence.
Responsibilities
- Architect Next-Gen AI Infrastructure: Design and implement the core machine learning infrastructure required to support our 2026 product roadmap, focusing on scalability and fault tolerance.
- Lead Model Strategy: Direct the research and development of state-of-the-art Large Language Models (LLMs) and multimodal agents, ensuring they align with our long-term vision.
- Optimize Performance: Oversee the deployment of models on distributed clusters, optimizing for low latency and high throughput in real-time environments.
- Technical Mentorship: Cultivate a high-performance engineering team, conducting code reviews, architectural reviews, and technical mentoring for senior and junior engineers alike.
- Collaborate with Cross-Functional Teams: Partner with product managers, data scientists, and security experts to translate complex technical requirements into robust engineering solutions.
- Future-Proofing: Stay ahead of the curve in emerging AI trends (e.g., neuromorphic computing, edge AI) to ensure our systems remain competitive through 2026 and beyond.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- Experience: 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML architecture and machine learning operations (MLOps).
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Modeling: Proven track record of designing and deploying large-scale neural network architectures and fine-tuning foundation models.
- Soft Skills: Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve ambiguous problems and innovate in fast-paced, unstructured environments.