Job Description
Welcome to 2026 Innovations, where we are architecting the future of intelligence. We are a premier research lab and engineering firm focused on bridging the gap between current AI capabilities and the quantum realities of tomorrow. We are looking for a Senior AI & Quantum Architect to lead the development of scalable neural architectures and hybrid quantum algorithms.
In this role, you won't just be writing code; you will be defining the standards for next-generation computing. If you are passionate about pushing the boundaries of what is possible in data science and systems engineering, we want to hear from you.
Responsibilities
- Lead R&D Initiatives: Spearhead the research and development of advanced machine learning models, specifically focusing on quantum-inspired neural networks and generative AI.
- System Architecture: Design robust, scalable, and secure cloud-native architectures that integrate classical AI with quantum processing units.
- Code Optimization: Refine and optimize existing codebases to improve latency and throughput in high-performance computing environments.
- Team Mentorship: Guide a team of junior data scientists and engineers, conducting code reviews and fostering a culture of innovation and continuous learning.
- Strategic Planning: Collaborate with product management to define technical roadmaps and translate business requirements into technical specifications.
- Prototype Development: Build rapid prototypes to validate complex algorithms before scaling them into production environments.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence and Quantum Computing.
- Experience: Minimum of 7+ years of professional experience in software engineering and machine learning roles.
- Technical Skills: Proficiency in Python, C++, and TensorFlow or PyTorch. Experience with quantum computing frameworks (e.g., Qiskit, Cirq) is highly preferred.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Leadership: Proven track record of leading cross-functional teams and managing technical projects from conception to deployment.