Job Description
Shape the Future of Intelligence
We are seeking a visionary Future-Ready AI Architect to join our elite engineering team in Austin, Texas. As we prepare for the technological landscape of 2026 and beyond, you will be at the forefront of designing scalable, autonomous, and ethical artificial intelligence systems. This is a rare opportunity to define the architecture of next-generation neural networks and integrate quantum-ready algorithms into production environments.
Why Join Us?
At Synthetix AI, we don't just predict trends; we engineer them. We offer a competitive benefits package, remote-first flexibility, and the chance to work on projects that will redefine human-machine interaction.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning infrastructure capable of processing petabytes of data in real-time for 2026 standards.
- Pilot Quantum Integration: Collaborate with quantum computing research teams to develop hybrid models that leverage quantum supremacy for complex problem solving.
- Model Optimization: Continuously refine Large Language Models (LLMs) and generative AI agents to ensure peak performance, low latency, and high accuracy.
- Ethical AI Governance: Establish and enforce frameworks for AI safety, fairness, and transparency to mitigate algorithmic bias.
- Technical Leadership: Mentor junior data scientists and engineers, conducting code reviews and architectural audits to maintain high engineering standards.
- Product Strategy: Translate complex technical concepts into strategic roadmaps that align with business goals and user needs.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 7+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Technical Stack: Proficiency in Python, C++, and TensorFlow or PyTorch; experience with cloud platforms (AWS, GCP, or Azure).
- Algorithm Mastery: Deep understanding of statistical modeling, natural language processing (NLP), and computer vision.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders and cross-functional teams.