Generative AI Analyst | French (Canada)
Review, evaluate, and validate AI-generated content to ensure accuracy and quality according to project guidelines. Annotate and label various data types while providing clear written feedback on AI outputs.
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Review, evaluate, and validate AI-generated content to ensure accuracy and quality according to project guidelines. Annotate and label various data types while providing clear written feedback on AI outputs.
Review, evaluate, and validate AI-generated content to ensure accuracy and quality according to project guidelines. Annotate and label various data types while providing clear written feedback on AI performance.
The AI Strategy Lead will define AI strategy frameworks, build Agentic AI target operating models, and lead end-to-end AI use case delivery. They will also support pre-sales activities, including proposal writing and stakeholder engagement to drive business value through data-driven solutions.
The AI Platform Administrator will configure and manage conversational AI, workflow automation, and platform integrations to support business requirements. They will also coordinate system deployments, troubleshoot technical issues, and collaborate with operations teams to optimize AI performance.
You will build and ship production-ready, AI-powered products by integrating LLMs, RAG, and agentic workflows into financial service processes. Additionally, you will architect scalable cloud-native systems on AWS while ensuring high standards for reliability, latency, and operational excellence.
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Lead and manage a high-performing engineering team to build and scale products while ensuring technical quality and delivery speed. Drive technical architecture, set engineering standards, and foster a culture of ownership and continuous improvement.
Lead and manage a high-performing engineering team to build and scale financial products while ensuring technical excellence and reliability. Drive technical architecture decisions and foster a culture of ownership, speed, and continuous improvement.
You will lead the technical design and execution of complex products while remaining hands-on with coding, architecture, and production problem-solving. Additionally, you will mentor engineers, set high standards for code quality, and drive major engineering initiatives from concept to production.
Define and govern scalable AI solution architectures that align with business outcomes and enterprise standards. Facilitate stakeholder workshops and collaborate with cross-functional teams to ensure secure, compliant, and effective AI implementation.
Design and develop AI agents and copilots using Microsoft Copilot Studio and Azure AI while integrating with enterprise applications. Collaborate with business analysts and architects to identify use cases and convert successful prototypes into scalable production solutions.
The consultant will bridge management consulting and technical execution to help organizations transition to AI-native workflows using Google Workspace and Gemini. Responsibilities include identifying business friction points, architecting autonomous workflows, and developing board-ready business cases to demonstrate ROI.
You will contribute to the technical approach for evaluating how AI agents reason through complex microbiome and metagenomics datasets. Additionally, you will collaborate with engineers and biologists to build ground-truth benchmark datasets that test the analytical capabilities of AI agents.
The Director of AI Governance & Enterprise Solutions defines technical standards for AI agent design, deployment, and governance across the company. This role manages the Momentive Context Library and acts as a strategic technical partner for business units building AI solutions.
The Senior Manager is responsible for designing and overseeing the enterprise technical governance program with a specific focus on AI systems. This role coordinates across security, legal, and engineering teams to ensure AI capabilities align with regulatory standards and risk appetite.
You will build and deploy production-grade AI services, including agentic workflows, RAG pipelines, and LLM-integrated applications. Additionally, you will design secure API interfaces and implement data-to-insight pipelines to transform unstructured enterprise data into structured models.
The consultant will bridge management consulting and technical execution to help organizations transition to AI-native workflows using Google Workspace and Gemini. Responsibilities include identifying high-value business friction points, architecting autonomous workflows, and developing business cases to demonstrate ROI.
You will take end-to-end ownership of complex AI and data-driven projects from initial idea to go-live. You are responsible for translating requirements into actionable plans and steering cross-functional teams to ensure measurable value.
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You will own the roadmap for data and AI strategy, translating technical requirements into actionable epics and stories for engineering teams. You will also lead cross-functional initiatives to build scalable, compliant, and intuitive data products for frontline workers.
The AI Implementation Specialist will lead the company's AI adoption strategy by identifying automation opportunities and designing efficient, scalable workflows. They will work directly with leadership to integrate AI tools into existing systems like ActiveCampaign and measure the business impact of these initiatives.
Define the target-state secure architecture and reference patterns for AI/ML systems, including LLMs and computer vision pipelines. Lead adversarial testing, red-teaming, and the implementation of technical controls to ensure secure AI development across the organization.
You will deploy and operate high-performance parallel storage systems to support AI training and inference workloads. Additionally, you will instrument storage telemetry and partner with the platform team to develop predictive models for storage-fault detection.
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Design and implement AI-driven SOC automation workflows to triage, investigate, and respond to security threats. Act as a technical advisor to enterprise customers while engineering integrations across their security stacks.
The AI Security Engineer will design secure architectures for AI workloads and implement runtime guardrails to protect against prompt injection and data leakage. They will also operationalize security governance, conduct AI red teaming, and provide guidance to engineering teams on responsible AI practices.
Lead the design, animation, and editing of high-quality motion assets across various digital platforms while integrating AI-powered tools into production workflows. Collaborate with cross-functional teams to innovate creative processes and deliver compelling B2B marketing content.
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The Senior AI Agent Solutions Architect will lead the design and optimization of the MarTech technology stack, focusing on AI-ready solutions and intelligent agent workflows. They will partner with cross-functional teams to drive platform scalability, tool integrations, and the establishment of architecture standards.
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The role involves automating marketing workflows, managing AI tooling, and building robust data pipelines to reduce manual analyst tasks. You will own the end-to-end implementation of AI-assisted engineering, including API integrations and safe, automated campaign operations.
The AI Solutions Architect will govern and deliver AI solutions across non-engineering business units while serving as the technical liaison between AI Enablement and IT teams. This role is responsible for the full technical lifecycle of AI projects, including intake triage, workflow design, and the management of tokenomics initiatives.
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