Blue Ridge

Full-stack Engineer

• Design and develop Generative AI solutions using cloud-based managed AI services (e.g. Amazon Bedrock, Amazon SageMaker).
• Design and develop AI Agent workflows using cloud and open source agentic frameworks.
• Containerize AI applications and deploy them using cloud orchestration services.
• Collaborate with data architects/engineers to build end-to-end AI pipelines.
• Implement MLOps practices to automate the development, deployment, and monitoring of AI applications and models.
• Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis; collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency over time.
• Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.
• Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates.
• Contribute to the development of best practices and standards for AI engineering within the organization.
• Lead the architecture and implementation of ML systems that can process supply chain data at scale
• Research and implement cutting-edge ML techniques including transformer models, reinforcement learning, and generative adversarial networks
• Optimize model performance for production environments, ensuring low latency and high availability
• Establish best practices for model versioning, monitoring, and continuous integration/deployment
• Understand critical supply chain planning workflows and identify opportunities for AI-driven automation
• Develop ML models that provide insights into potential supply disruptions and recommend automated resolutions
• Build tools that increase the reach of supply chain solutions through partner integrations
• Act as the voice of AI innovation within the supply chain domain.

Lead Full-Stack Engineer, GenAI

Revenue Operations

• Blue Ridge Solutions, creators of the leading supply chain platform for distributors, retailers, and manufacturers
• Support commercial teams by leveraging analytics to create a single pane of glass viewpoint into the performance of our growth engine
• Optimize processes and tools involved in our GTM strategy
• Act as a strategic advisor to functional leaders in Sales, Marketing, Channel, Customer Org
• Own the standard dashboards and executive reporting packages to provide real-time performance updates for each commercial team
• Produce weekly pipeline generation and bookings forecast updates working closely with Sales and Marketing leaders
• Maintain and iterate the customer and prospect database, own segmentation, and ensure GTM teams and motions are appropriately aligned
• Work with Marketing leadership to continuously refine and optimize account and lead scoring models
• Take ownership of Pardot & Salesforce instances, focusing on data enrichment, data hygiene, and maintaining high deliverability rates
• Implement robust tracking and measurement strategies to analyze and optimize all stages of the revenue funnel, identifying areas for improvement and optimizing multi-touch attribution

Lead Full-Stack Engineer, GenAI

Revenue Operations Manager