Job Description
Are you ready to define the future? Join 2026 Systems as our Lead AI Architect. We are not just building software; we are architecting the intelligent infrastructure for the year 2026 and beyond. If you are a visionary technical leader passionate about Generative AI, Machine Learning, and scalable cloud architecture, this is your opportunity to lead the charge.
In this high-impact role, you will steer the technical direction of our flagship projects, bridging the gap between theoretical AI breakthroughs and production-ready enterprise solutions. You will work in a dynamic, remote-first environment where your code shapes the trajectory of tomorrow.
What you'll do:
- Architect and oversee the deployment of complex, large-scale AI and machine learning systems.
- Drive technical strategy for long-term product evolution, ensuring scalability and robustness.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Mentor junior engineers and establish best practices for AI development and code quality.
- Research and implement cutting-edge algorithms to stay ahead of industry trends.
- Ensure data privacy, security, and ethical AI compliance in all implementations.
Why apply?
- Competitive salary package and equity opportunities.
- Flexible work arrangements and comprehensive benefits.
- Work on projects that define the future of technology.
Responsibilities
- Design and implement scalable machine learning pipelines and AI infrastructure.
- Lead a high-performing engineering team in the research and development of state-of-the-art models.
- Translate complex business requirements into robust, scalable technical architectures.
- Oversee the full software development lifecycle (SDLC) for AI projects.
- Conduct rigorous code reviews and technical architecture reviews.
- Identify and mitigate technical risks and bottlenecks in the development process.
- Stay abreast of emerging technologies and integrate them into our tech stack.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- 10+ years of experience in software engineering with at least 5 years in AI/ML architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS/GCP/Azure).
- Strong experience with Large Language Models (LLMs), NLP, and Computer Vision.
- Demonstrated experience leading engineering teams and managing technical roadmaps.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.