Principal AI Engineer

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.

Required Skills:

• Programming in Python, Java, or R
• Building scalable AI infrastructure from the ground up
• Developing and maintaining data pipelines and deployment strategies
• Working with cloud platforms such as AWS or Azure
• 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)
• Managing large data sets and optimizing code for performance
• Troubleshooting and performance tuning of AI systems

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

Preferred Education and Experience:

• 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 platformsExperience deploying models in production environments
• Knowledge of distributed systems and microservices architecture

Other Requirements:

• Ability to travel approximately 10-20%
• Strong communication and collaboration skills
• Commitment to staying current with emerging AI and ML technologies

Bring your expertise to a cutting-edge environment where your contributions will directly influence the future of AI technology.