Job Description
We are seeking a visionary Lead AI Architect to spearhead our technology roadmap for 2026 and beyond. At NeoGen Systems, we are building the infrastructure of tomorrow, leveraging next-generation artificial intelligence to solve complex global challenges. In this role, you will define the architectural vision for our flagship projects, ensuring scalability, security, and cutting-edge performance.
You will work at the intersection of data science, software engineering, and strategic foresight. If you are passionate about the future of AI and possess the technical prowess to lead large-scale deployments, we want to hear from you.
Why join us?
- Work on projects that define the industry standards for 2026.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium tech equipment.
- Opportunity to mentor the next generation of engineers.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure for future-proof systems.
- Define the strategic technology roadmap for the 2026 product cycle, identifying emerging trends in Generative AI and Edge Computing.
- Lead a team of senior engineers and data scientists to drive innovation and deliver high-impact solutions.
- Collaborate with cross-functional stakeholders to translate business requirements into technical blueprints.
- Ensure system reliability, security, and compliance with global data regulations.
- Conduct deep-dive research into novel algorithms to maintain a competitive edge.
- Oversee code reviews, system architecture reviews, and technical decision-making processes.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineering role.
- Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
- Strong proficiency in Python, TensorFlow, PyTorch, and distributed systems.
- Proven track record of leading large-scale AI deployments and managing technical teams.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is preferred.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.