Top Tech Jobs & Startup Jobs

Develops Lantern’s Databricks consulting-services business by generating enterprise pipeline, managing strategic accounts, building partner relationships, leading discovery, shaping data and AI consulting solutions, and closing services engagements. Owns the full sales cycle from qualification through negotiation, contract signature, and delivery transition while managing forecasts, pricing, margins, and partner-sourced opportunities.

Designs and operationalizes advanced analytics, machine learning, generative AI, and agentic AI solutions for clients using Azure Databricks and Microsoft technologies. Responsibilities include data preparation, feature engineering, model development, evaluation, deployment, monitoring, MLOps, LLMOps, governance, and stakeholder communication. The role leads discovery sessions, manages workstreams, supports proposals and accelerators, mentors colleagues, and drives measurable client adoption and business outcomes.

Owns HR technology and people operations across Canada and the United States. Responsibilities include administering HiBob, supporting ADP payroll, maintaining employee data, coordinating benefits and retirement programs, improving HR processes through automation and AI, managing onboarding and employee communications, supporting culture initiatives, and assisting with compliance, performance programs, and Edmonton office needs.

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

The role involves developing and deploying generative AI applications using Microsoft Azure AI stack, focusing on LLMs, agent-based workflows, and scalable AI infrastructure.