Job Description
At Nexus Horizon, we are not just building software for today; we are architecting the intelligent infrastructure of tomorrow. As we approach the pivotal era of 2026, we are seeking a visionary Lead AI Architect to spearhead our next-generation Artificial Intelligence initiatives. You will define the architectural blueprints for autonomous systems, neural networks, and predictive analytics platforms that will redefine industry standards.
This is an opportunity to lead high-impact projects in a dynamic, high-growth environment. If you are passionate about the intersection of deep learning, cloud infrastructure, and strategic innovation, we want to hear from you.
Responsibilities
- Design and implement scalable, high-performance AI architectures tailored for the 2026 technological landscape.
- Lead the strategy and roadmap for the development of Generative AI and Machine Learning models.
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Ensure system reliability, security, and scalability across all AI infrastructure deployments.
- Stay at the forefront of AI innovation, evaluating emerging technologies (e.g., AGI, Edge AI) and integrating them into our ecosystem.
- Mentor and guide a team of talented engineers, fostering a culture of technical excellence and continuous learning.
- Oversee the full software development lifecycle (SDLC) for AI projects, from proof-of-concept to production deployment.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
- Proven expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, Azure, or GCP).
- Strong background in designing distributed systems and large-scale data pipelines.
- Demonstrated success in leading high-impact technical projects from inception to delivery.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with Agile/Scrum methodologies and a track record of driving team performance.