Client Principal - AI Consulting (Energy, Oil & Gas)

This Principal Engineer role focuses on architecting and scaling AlphaSense's core cloud platform, ensuring high availability and performance for the AI-driven market intelligence platform. The role involves leading technical design, building robust infrastructure, and collaborating with cross-functional teams to support the platform's growth.

This role focuses on building and maintaining internal AI-powered automation tools and workflows. The engineer will develop connectors, agents, and microservices using TypeScript and Node.js on Google Cloud Platform, integrating with APIs like Salesforce and Slack. Key responsibilities include leveraging LLM APIs (Vertex AI/OpenAI), prompt engineering, and building agentic workflows to modernize internal operations.

This Client Partner role is responsible for building and growing high-value client relationships, from winning new business to expanding existing accounts. The role involves pitching, delivering strategic growth plans, and ensuring flawless execution of media solutions, with a focus on commercial success and cross-selling agency services. Requires significant full-service media agency experience and proven client leadership.

Leads cloud operations engineering, focusing on designing and optimizing cloud infrastructure for scalability, reliability, and cost efficiency.

This role focuses on developing and refining language models and NLP systems for bilingual (English & Spanish) applications. The computational linguist will work on data annotation, linguistic rule development, and model evaluation to improve AI language understanding. Requires strong linguistic expertise and programming skills in Python.

This role involves deploying and integrating AI solutions directly at client sites, bridging the gap between product and customer needs. The engineer will work with APIs, cloud infrastructure, and computer vision models to ensure successful implementation and customization.

This Senior Site Reliability Engineer role is responsible for ensuring the reliability, scalability, and performance of cloud infrastructure and production systems. The engineer will implement automation for deployment, monitoring, and incident response, while driving improvements in system architecture and operational efficiency. Key focus areas include SLO/SLI management, capacity planning, and building robust CI/CD pipelines.