Forward Deployed Technical Consultant-Databricks: Ai&Data Advanced Technology Centers

We are:
The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.We are:
The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.Stronger together!
The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.The value for our clients and our people:
For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.You are:
As a Forward Deployed Technical Consultant-Databricks, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design, build, and operationalize enterprise-grade data and agentic AI solutions in Databricks and Azure Data Services. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. You will design and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGen. You’ll work closely with analytics, data science, and cloud teams to ensure reliable, high-performance data delivery for the clients we serve.THE WORK
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutionsArchitect, develop, and maintain scalable, low-latency data pipelines to ingest and transform diverse datasets leveraging Azure Databricks workflows and Spark technologiesDesign and optimize lakehouse architecture using Delta Lake tables following Bronze, Silver, and Gold layers to ensure efficient, reliable, and governed data storageDesign and implement autonomous agents using Databricks Mosaic AI Agent Framework and frameworks like LangChain or AutoGenBuild and optimize vector search indexes using Databricks Vector Search for accurate context retrievalDesign AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observabilityProcess large-scale distributed datasets on the Databricks Intelligence Platform with Apache SparkDevelop and implement machine learning algorithms, models, and computational systems;
design and build scalable data pipelines to support model training and production with DevOps & MLOpsCustomize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPCEngage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sitesWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and productionImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate toolsJustify the value of model approaches in business problemsCollaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into productionThis is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client locationBasic (required) Qualification
Bachelor’s degree or completion of a college program in a related disciplineMinimum 3 years of experience working with Microsoft Azure cloud data services.Minimum 3 years of hands-on experience with Databricks : PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture (Bronze, Silver, Gold).Experience with Git-based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, and programmingMinimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, scientific compute, grid and cloud computing, distributed networksEnglish is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.Preferred Qualification
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.Experience working with language models like LLM's APIs and optimizing their usage for specific applications.Experience in MLOps/LLMOps (CI/CD for ML and LLM Lifecycle)Genie product FamilyDatabricks certified Data Engineer Professional (2025)Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsInformation on benefits is here. Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400
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