Job Description
We are not just building the future; we are engineering it. OmniCore Systems is seeking a visionary Senior AI Architect to spearhead our revolutionary Project 2026, a next-generation initiative focused on autonomous decision-making systems and generative AI infrastructures. If you are passionate about pushing the boundaries of technology and defining the landscape for 2026 and beyond, this is your opportunity to lead with impact.
As a key member of our elite R&D team, you will architect the backbone of our next-generation platforms, ensuring scalability, security, and cutting-edge performance. Join us in creating the technological milestones that will define the decade.
Responsibilities
- Lead Architectural Vision: Define and drive the technical roadmap for Project 2026, overseeing the end-to-end design of complex AI systems.
- Model Development: Lead the research and implementation of advanced machine learning models, including LLMs and predictive algorithms.
- System Integration: Integrate AI solutions with existing cloud infrastructure, ensuring seamless interoperability and high availability.
- Team Leadership: Mentor a high-performing engineering team, fostering a culture of technical excellence, innovation, and continuous learning.
- R&D Strategy: Stay ahead of industry trends, evaluating emerging technologies like quantum computing and neuromorphic chips.
- Security & Ethics: Implement rigorous security protocols and ensure all AI models adhere to ethical guidelines and bias mitigation standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture roles.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Leadership: Proven track record of managing cross-functional teams and delivering complex projects on time.
- Problem Solving: Exceptional ability to troubleshoot complex technical challenges and architect scalable solutions.
- Communication: Strong verbal and written communication skills, capable of translating technical concepts for diverse stakeholders.