Job Description
Are you ready to shape the technological landscape of the future? Horizon Dynamics is on a mission to engineer the systems that will define the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our cutting-edge research division. In this role, you won't just be building software; you will be architecting the neural pathways of tomorrow.
We are looking for a thought leader who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible with Artificial Intelligence, Quantum Computing, and Sustainable Tech. If you want to work on projects that have a tangible impact on global infrastructure and human evolution, this is your opportunity.
About You
You possess a deep understanding of deep learning architectures and have a proven track record of deploying scalable, production-grade AI solutions. You are not just a coder; you are a strategist who understands the ethical implications of AI and how to harness it for good.
Responsibilities
- Architect the 2026 Roadmap: Lead the strategic design of our AI infrastructure, ensuring scalability, security, and performance for future technological demands.
- Pioneering Research: Spearhead research into Generative AI, Natural Language Processing, and Computer Vision to stay ahead of industry trends.
- Team Leadership: Mentor a world-class team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- System Integration: Integrate quantum-ready algorithms into our cloud ecosystems to optimize computational efficiency.
- Ethical AI Compliance: Ensure all AI models adhere to strict ethical guidelines and regulatory standards.
- Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive leadership.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architecture role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and large language models (LLMs).
- System Design: Proven ability to design complex distributed systems and microservices architectures.
- Tools: Experience with MLOps pipelines, Kubernetes, and AWS/GCP/Azure environments.
- Soft Skills: Exceptional problem-solving abilities and the ability to work effectively in a fast-paced, startup environment.