Job Description
Are you ready to define the technological landscape of 2026? Synthetix Future Systems is seeking a visionary Lead AI Architect to spearhead our roadmap for the next generation of artificial intelligence. We are building the infrastructure that will power autonomous systems and neural interfaces in the near future.
In this pivotal role, you won't just be managing code; you will be architecting the future. You will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our AI solutions are robust, ethical, and groundbreaking.
Why join us?
- Work on cutting-edge Generative AI 2.0 models.
- Shape the strategic direction of AI in 2026.
- Competitive equity and benefits package.
Responsibilities
- Strategic Leadership: Define and execute the technical vision for the 2026 AI roadmap, aligning with company goals.
- System Architecture: Design scalable, fault-tolerant distributed systems for high-volume machine learning inference.
- Research Integration: Translate academic research into production-ready code and deployable microservices.
- Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Performance Optimization: Drive improvements in model latency, throughput, and resource efficiency.
- Cross-Functional Collaboration: Partner with product managers and engineers to define technical requirements and deliver solutions.
- Ethical AI Governance: Implement frameworks to ensure AI safety, fairness, and compliance with evolving regulations.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years in a senior AI/ML architect role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Leadership: Proven track record of leading high-performing engineering teams through complex technical challenges.
- Tools: Experience with cloud platforms (AWS/GCP) and MLOps pipelines.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Innovation: Strong passion for emerging technologies and a forward-thinking mindset.