Job Description
Are you ready to architect the systems of tomorrow? OmniFuture Inc. is seeking a visionary Senior AI Architect to define the technological roadmap for the 2026 era. We are at the forefront of integrating Generative AI and Agentic workflows into enterprise infrastructure, and we need a leader who can bridge the gap between theoretical innovation and scalable reality.
In this pivotal role, you will not just maintain existing systems; you will build the foundation for the next generation of autonomous intelligence. You will collaborate with cross-functional teams to deploy cutting-edge Large Language Models (LLMs) and ensure ethical, robust, and efficient AI deployment. If you are passionate about the future of technology and want to shape the landscape of 2026, we want to hear from you.
In this pivotal role, you will not just maintain existing systems; you will build the foundation for the next generation of autonomous intelligence. You will collaborate with cross-functional teams to deploy cutting-edge Large Language Models (LLMs) and ensure ethical, robust, and efficient AI deployment. If you are passionate about the future of technology and want to shape the landscape of 2026, we want to hear from you.
Responsibilities
- Define the 2026 AI Roadmap: Lead the strategic vision for our AI infrastructure, identifying trends in Generative AI and Autonomous Agents to drive long-term innovation.
- Architect Scalable Solutions: Design and implement robust, scalable AI architectures capable of handling high-throughput data streams and complex model inference.
- Model Development & Optimization: Oversee the fine-tuning and optimization of proprietary LLMs, ensuring peak performance and reduced latency.
- Ethical AI Governance: Establish and enforce frameworks for AI safety, bias mitigation, and responsible data usage to comply with evolving regulations.
- Cross-Functional Leadership: Partner with product managers, data scientists, and engineers to translate business goals into technical AI solutions.
- Technical Mentorship: Foster a culture of continuous learning and mentor junior engineers and researchers in advanced AI techniques.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of experience in AI engineering, with at least 2 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- AI Specialization: Proven track record working with Large Language Models (GPT, Llama, etc.), RAG pipelines, and vector databases.
- Strategic Thinking: Ability to think several years into the future (2026 vision) regarding technological shifts in the tech industry.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.