The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor's in Computer Science
Nice to have: Deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Nice to have: Experience with Kubernetes, cloud infrastructure, observability, or MLOps
Nice to have: Experience building customer-facing technical solutions or integrations
Nice to have: Experience creating reusable developer tools, frameworks, or open-source contributions
Lead the development and validation of Physical AI systems for humanoid and industrial robotics, integrating hardware, mechanical, compute, and software components.
Responsibilities
Contribute to Physical AI technology development for humanoid and industrial robotics
Design, prototype, integrate, and validate humanoid hardware and mechanical subsystems
Develop and evaluate learning‑based perception, planning, control, and manipulation workflows
Develop and maintain virtual system models and robotics hardware and software infrastructure
Evaluate and prototype neuromorphic and ultra‑low‑power computing approaches
Requirements
Master’s degree (PhD preferred) in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science or a closely related field
Business analyst responsible for the delivery, implementation, testing, and ongoing support of Air Canada’s new enterprise fuel management system.
Responsibilities
Lead business-side coordination for the implementation of the new fuel management system
Work with the selected vendor and internal project teams to develop and validate business requirement documents, functional requirements, process flows, user stories, test scripts, and implementation documentation
Represent the Energy team in workshops, design sessions, configuration reviews, system demonstrations, governance meetings, and solution validation activities
Document and validate end-to-end business processes across fuel procurement, pricing, inventory, contracts, invoicing, tax, compliance, accounting, reporting, and analytics
Ensure system design and future-state processes support automation, data integrity, auditability, user efficiency, scalability, and business continuity
Requirements
University degree in Business Administration, Supply Chain, Information Systems, Finance, Engineering, Data Analytics, Computer Science, or a related discipline
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Senior AI Engineer responsible for developing and enhancing an enterprise AI platform using Python, LangGraph, and LangChain for a US healthcare client.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and conversational experiences.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
Establish and document reproducible machine learning and data engineering workflows
Requirements
Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
Nice to have: AI enthusiasm
Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
Nice to have: Power BI or comparable business intelligence platforms
Senior Forward Deployed EngineerNewCisco · Washington, US+5 more
Fuel Management System and Business Automation AnalystNewAir Canada · Dorval, Canada