Job Description
We are pioneering the next generation of intelligent systems and are looking for a visionary AI Strategy & Engineering Lead to help shape the roadmap for 2026 and beyond. If you are passionate about the intersection of deep technology and business strategy, this is your opportunity to lead at the highest level.
At Apex Digital Innovations, we don't just adapt to the future; we build it. You will be responsible for architecting scalable AI solutions, leading a world-class engineering team, and defining the technical vision that drives our market leadership.
Responsibilities
- Define and execute the comprehensive technical roadmap for AI initiatives, specifically focusing on the 2026 product vision and long-term scalability.
- Architect and deploy robust, high-performance machine learning systems capable of handling enterprise-grade workloads.
- Lead, mentor, and develop a team of senior data scientists and software engineers, fostering a culture of innovation and technical excellence.
- Oversee the integration of Large Language Models (LLMs) and generative AI tools into our core product suite.
- Collaborate with cross-functional stakeholders to translate business requirements into technical specifications.
- Ensure the highest standards of code quality, system security, and data privacy in all AI deployments.
- Stay ahead of industry trends, conducting research to identify emerging technologies that can provide a competitive edge.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (PhD preferred).
- Minimum of 8 years of experience in software engineering, with at least 5 years focused on AI/ML architecture and leadership.
- Deep expertise in Python, PyTorch, TensorFlow, or equivalent deep learning frameworks.
- Proven track record of deploying production-grade ML models and managing large-scale distributed data pipelines.
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Strategic thinker with a strong bias for action and a proven ability to drive projects from concept to delivery.