Job Description
We are seeking a visionary 2026 AI Lead to architect the next generation of artificial intelligence systems for Horizon Tech Solutions. In this pivotal role, you will define the technical roadmap that will define the industry landscape for the coming years. You will be responsible for overseeing the development of cutting-edge AI models, ensuring scalability, and driving innovation that aligns with our strategic vision for the future.
Our ideal candidate is not just a technical expert but a strategic thinker who understands the ethical implications and societal impact of AI. You will lead a high-performing team of data scientists and engineers, fostering a culture of continuous learning and excellence.
Why Join Us?
- Work on groundbreaking projects that shape the future.
- Competitive compensation package with equity options.
- Flexible work environment and top-tier benefits.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Define and execute the long-term technical vision for AI infrastructure and model deployment.
- Lead a cross-functional team of data scientists, ML engineers, and researchers.
- Oversee the end-to-end machine learning lifecycle, from data ingestion to model deployment.
- Collaborate with product management to translate business requirements into technical solutions.
- Ensure compliance with ethical guidelines and industry standards in AI development.
- Stay abreast of the latest research and advancements in the field to maintain a competitive edge.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI/ML.
- Deep expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and NLP.
- Proven track record of deploying scalable AI solutions in production environments.
- Strong understanding of cloud architectures (AWS, Azure, GCP).
- Excellent communication and stakeholder management skills.
- Master’s degree or PhD in Computer Science, AI, or a related field is preferred.