via Talent.com
$120K - 200K a year
Architect and optimize scalable AI systems, integrate AI models in production, and develop custom solutions in AI and advanced analytics.
7+ years of professional experience in AI, advanced analytics, or software development, with knowledge of Python, TensorFlow, PyTorch, Pandas, and cloud certifications.
Job Description The Lead AI Software Engineer will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. The position will focus on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning. The ideal candidate should have experience working as an individual contributor in AI and machine learning. They should be able to design custom solutions in the AI and advanced analytics sphere for customers and build reference implementations of operational AI & Advanced Analytics processing solutions. Additionally, they should have knowledge of state-of-the-art technology, data structures, software engineering principles, and the ability to use various programming languages such as Python, Java, and frontend frameworks for POC demos and dashboarding. They should also have experience with deep learning model architecture development and philosophy, cloud certifications (AWS, Azure, or GCP), and 5+ years of related experience in AI, advanced analytics, computer science, or software development. Python experience with TensorFlow, PyTorch, and Pandas is required. Minimum requirements include a Bachelor's degree in a relevant field of study and 7+ years of relevant professional experience.
This job posting was last updated on 12/17/2025