Lead AI Platform Engineer

Position Overview

The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

Essential Duties

Include, but are not limited to, the following:

• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
• Complete the development and deployment of AI models and algorithms to solve complex problems.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.