Job Description
We are not merely building for today; we are architecting the reality of 2026. Orbital Systems Inc. is seeking a visionary Lead Architect to spearhead the next generation of Artificial Intelligence and predictive systems.
As we approach the pivotal year of 2026, the boundaries between human cognition and machine intelligence are dissolving. In this role, you will define the protocols, architectures, and ethical frameworks that will govern the digital landscape of the coming decade. We are looking for a technical leader who thrives on ambiguity and possesses the foresight to navigate the complexities of a rapidly evolving technological horizon.
Why join us? We offer a competitive package, remote-first flexibility, and the unique opportunity to leave a lasting legacy on the technological fabric of the future.
Responsibilities
- Design and implement the core neural architecture for our 2026 flagship product suite, ensuring scalability and resilience.
- Lead the strategic roadmap for transitioning legacy systems to next-gen quantum-ready AI frameworks by the 2026 deadline.
- Collaborate with global research teams to forecast and integrate emerging technologies into our core infrastructure.
- Establish governance protocols for autonomous decision-making systems and ensure compliance with future regulatory standards.
- Drive innovation in human-computer interaction paradigms and edge computing solutions.
- Mentor senior engineering teams and foster a culture of technical excellence and forward-thinking.
Qualifications
- Master’s degree in Computer Science, Computational Neuroscience, or a related field (PhD preferred).
- 10+ years of experience in leading large-scale AI and machine learning engineering projects.
- Proven track record of delivering high-impact software solutions in a fast-paced, high-growth environment.
- Deep understanding of deep learning, natural language processing, and generative adversarial networks.
- Exceptional communication skills to translate complex technical visions for executive stakeholders and non-technical audiences.
- Demonstrated ability to work independently and manage complex projects from conception to deployment.