About the Team/Role

We are the AI Engineering team at WEX.  We enable our product development teams to move quickly and deploy AI functionality into their applications in a scalable manner.  We're seeking a visionary Lead AI Architect to play a pivotal role in transforming our enterprise with a cutting-edge AI platform.  You'll spearhead the design and implementation of a centralized, scalable AI services platform, empowering our business units to unlock the full potential of data-driven insights, LLMs, and automation. If you have a passion for building robust AI infrastructure, possess a deep understanding of cloud technologies, and thrive in a collaborative environment, this is your chance to shape the future of our organization.

How you'll make an impact

• A highly motivated engineer who loves working on small, high performing teams

• Collaborative, a solid communicator, and work well with your team and stakeholders.

• A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way.

• Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.

Experience you'll bring

• Architecture Design: Craft a comprehensive AI platform blueprint, encompassing data pipelines, model development and deployment, API integrations, monitoring, and governance.

• Team Leadership: Guide and mentor teams of AI engineers, data scientists, and DevOps specialists, fostering a culture of innovation and continuous improvement.

• Collaboration: Partner cross-functionally to align AI initiatives with business objectives, ensuring solutions deliver value across the enterprise.

• Security & Compliance: Champion data privacy and security, implementing rigorous access controls and adhering to industry-specific regulations.

• Technical Expertise: 5+ years of hands-on experience designing and deploying complex cloud architectures (AWS, Azure, GCP, or similar) and 10+ years of total experience.

• Communication Excellence: Exceptional written and verbal communication; able to translate complex technical concepts for diverse audiences.

• Event-Driven Architecture: Proven mastery of event-driven architecture principles, with demonstrated success building systems using Kafka, RabbitMQ, or other messaging technologies.

• Programming Proficiency: Solid Python development skills, complemented by experience with relevant AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• RAG Architecture: In-depth understanding of retrieval-augmented generation (RAG) architecture for augmenting large language models (LLMs) with relevant information from external knowledge sources.

• Infrastructure as Code (IaC): Fluency with IaC tools like Terraform, CloudFormation, or Pulumi.

• DevOps Mindset: Embody DevOps principles, with expertise in CI/CD pipelines, automation, and monitoring.

• Version Control: Proficient in Git and GitHub for collaborative code management.

• Regulated Industries: Prior work in healthcare, finance, or government sectors involving strict compliance requirements is preferred.

• MLOps: Familiarity with MLOps concepts and tools to streamline model development and deployment workflows.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.