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Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
Solution Architect designing AI/ML solutions for enterprise clients, with hands-on engineering in Python, cloud infrastructure (Kubernetes, Docker, Terraform), and modern AI ecosystems (LangChain, Hugging Face, vector databases).
Develops AI/ML systems and predictive models for clients, focusing on LLMOps, deep learning, and software automation to transform unstructured data into actionable insights.
Leads enterprise data strategy, designs scalable pipelines, and implements AI/ML governance for Tyson Foods, focusing on real-time data, cloud platforms, and advanced data engineering.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
The Principal Architect for the AI Platform will serve as the primary architectural authority for BMO's enterprise AI initiatives, overseeing the integration of AI across cloud and workspace environments. This role involves defining target architectures, ensuring regulatory compliance, and providing technical leadership to align cross-functional teams on AI platform standards.
The Director of AI Platform Engineering leads a team to build and operate the enterprise-grade infrastructure that governs AI workloads at BMO. This role focuses on delivering secure, compliant, and observable platform capabilities including AI gateways, policy engines, identity fabrics, and registry services.
Job Summary: The AI Engineering Manager serves as the development lead for the AI capabilities embedded across the DT&I product portfolio, with primary emphasis on the design, build, and production operation of…
The Senior Data Scientist will lead complex machine learning and generative AI initiatives, including agentic workflows and RAG solutions, to drive business insights and strategic outcomes. The role involves mentoring junior staff, collaborating with cross-functional teams, and ensuring responsible AI practices within a financial services environment.
AI Engineer designing and productionizing enterprise-grade AI/ML and Generative AI solutions on Snowflake (Cortex), using Python, SQL, and Azure in a 1-year hybrid contract in Toronto.
Builds and deploys large-scale AI agent systems using Databricks, integrating LLM/ML models into enterprise workflows to drive business productivity for clients like Metro and STM.
The Agentic DevOps & AI Production Engineer will design and implement agentic development processes, CI/CD pipelines, and prompt management practices. The role focuses on ensuring AI-generated code is deployed to production securely while maintaining compliance with EU AI Act, GDPR, and DORA regulations.
Ищем руководителя направления AI-трансформации Блока, который будет отвечать за формирование и реализацию стратегии внедрения искусственного интеллекта в корпоративно-инвестиционном бизнесе, будет развивать AI-команды,…
Leads AI transformation for a major bank’s corporate-investment business: sets AI strategy, builds teams, and drives R&D and MLOps to embed generative AI and agents into products and processes.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
The MLOps/Cloud Deployment Engineer will manage the production infrastructure, CI/CD pipelines, and observability for AI and agentic systems in a regulated environment. This role focuses on cloud-native platform engineering, model governance, and performance optimization rather than model development.
The Lead Architect will design and oversee the deployment of enterprise-grade agentic AI solutions on Microsoft Azure. This role involves defining architecture patterns for LLM orchestration, integration, and security while guiding engineering teams through the full development lifecycle.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
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