Principal AI Engineer

Overview

Join a forward-thinking organization as a Principal AI Engineer, where you will lead the development of scalable AI platforms that drive innovative machine learning and artificial intelligence solutions. This role offers the opportunity to shape the future of AI infrastructure by designing, building, and maintaining systems that support advanced AI applications. Collaborate with cross-functional teams to deliver impactful, reliable, and secure AI capabilities that power real-world solutions in a dynamic environment. If you are passionate about creating end-to-end AI infrastructure from scratch and thrive on solving complex technical challenges, this is your chance to make a significant impact.

Responsibilities

• Lead the development of scalable AI platforms from the ground up
• Design, build, and maintain AI infrastructure and systems
• Develop and maintain data pipelines and deployment strategies
• Work with cloud platforms such as AWS or Azure
• Manage large data sets and optimize code for performance
• Troubleshoot and performance-tune AI systems
• Collaborate with cross-functional teams to deliver AI capabilities
• Deploy models in production environments

Requirements

• Programming in Python, Java, or R
• Experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn
• Knowledge of containerization tools including Docker and Kubernetes
• Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, CosmosDB, Graph DBs, Redis)
• API development and integration (REST, API Gateways)
• Bachelor’s Degree in Computer Science, Information Technology, or related field
• 10+ years of progressive engineering experience in large-scale data or AI projects
• Proven track record of building and maintaining AI or machine learning platforms
• Experience with distributed systems and microservices architecture
• Ability to travel approximately 10-20%
• Strong communication and collaboration skills
• Commitment to staying current with emerging AI and ML technologies

Nice to Have Skills

• Experience with real-time and batch data processing tools like Spark, Databricks, Kafka, Snowflake
• Knowledge of NLP, reinforcement learning, generative AI, or autonomous systems
• Familiarity with MLOps practices and tools
• Experience with big data technologies such as Hadoop and Spark
• Understanding of AI applications specific to the insurance industry

Workplace Type: Remote | Employment Type: Direct hire