LP
AI professionals
LinkedIn Recruiter Post
Seeking experienced AI professionals for three roles in Toronto: Senior AI Engineer (Snowflake AI), Senior AI/Generative AI Engineer, and AI Governance Specialist.
About the role
- Customer Experience AI Architect developing AI-powered tools for Vena’s Customer Experience. Collaborating across teams to enhance customer experience through AI solutions and workflows.
Responsibilities
- Learn and deeply understand CX priorities, processes, systems, stakeholders, and pain points across Professional Services, Customer Adoption Management, Managed Services, and Customer Enablement; with a focus on delivery/implementation.
- Identify and translate AI use cases that improve productivity, customer experience, time-to-value, and employee effectiveness across the post-sales customer journey.
- Maintain and prioritize a CX AI opportunity backlog based on value, feasibility, risk, and strategic alignment — managing both inbound requests from CX leaders and proactively identified opportunities.
- Design and build production-grade AI tools and workflows, including AI-assisted implementation workflows, AI copilots for consultants, and automated customer communications.
- Build and maintain reliable integrations, automations, and data sync patterns across the CX stack, improving data quality, reducing tool sprawl, and ensuring actions are triggered from trusted signals.
- Establish an AI/automation operating cadence for CX: intake → prioritization → build → QA → release → measure → iterate, with clear owners, SLAs, and documentation to reduce ad hoc requests and rework.
- Act as the connector between CX and IT, communicating needs, priorities, and delivery context to ensure AI solutions are governed, supportable, and scalable.
- Act as the connector between CX and Product & Technology, influencing architecture, integrations, and onboarding of Vena AI solutions and representing CX/PS in the product team’s AI vision.
- Partner with IT, Security, Data, and Governance teams to ensure all AI solutions meet Vena’s responsible AI standards and actively contribute to evolving the governance framework as CX AI matures.
- Drive adoption through enablement: stakeholder training, playbooks, change management, and feedback loops that turn prototypes into repeatable, scalable workflows used day-to-day.
- Possible travel to Vena headquarters in Toronto and or customer offices in the US
Requirements
- 5+ years in Professional Services, Solution Architecture, Customer Experience, or similar role, with a track record of delivering AI tools in production enterprise environments.
- Hands-on experience building and deploying AI applications for enterprise, including LLM/GenAI development, prompt engineering, RAG architectures, and AI agent frameworks (Claude, OpenAI, Copilot Studio, or equivalent).
- Ability to understand CX business processes and translate pain points into clear AI use cases, requirements, value hypotheses, and success measures.
- Experience working in Professional Services or similar technical customer-facing roles, with strong intuition for where AI eliminates friction in implementation and adoption, driving better customer outcomes and stronger realized value.
- Ability to prioritize AI opportunities using value, feasibility, risk, urgency, and strategic alignment, and to influence without authority across teams they don’t own.
- Comfort with API integrations, workflow automation tools, and working with data and BI platforms (e.g., Snowflake, Power BI) to measure and communicate AI impact.
- Good judgment around data sensitivity, privacy, security, accuracy, user experience, and responsible AI usage.
- Resilience and comfort operating in ambiguity. This is a transformational role in a fast-moving space that rewards curiosity, bias for action, and a growth mindset.
- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies.
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - review capabilities for customer workflows.
Senior Applied AI Engineer building production AI agents for Tango Analytics’ real estate technology platform. Designing retrieval, evaluation, safety, and human - in - the - loop capabilities.
AI Platform Administrator configuring conversational AI, automation, integrations, and governance for ABC Fitness. Supporting software that helps fitness businesses manage clubs and engage members.
Applied AI Engineer building evaluation pipelines, production agents, and reliable clinical AI for Tali’s healthcare platform. Owning models, retrieval, routing, and observability across ambient scribe, billing, search, and clinical workflows.
Forward Deployed AI Engineer industrializing GenAI and agentic AI solutions for Keyrus Canada clients. Deploying measurable, governed AI systems across enterprise environments.
LP
GenAI Developer
LinkedIn Recruiter Post
TCS Canada is hiring recent graduates for GenAI Developer roles, focusing on Generative AI, LLMs, RAG, and AI Agents. Candidates will work on real - world AI solutions in an Agile environment.
Staff AI Engineer building and deploying enterprise AI applications for EQ Bank. Designing scalable systems, integrating LLMs, and delivering production solutions in Toronto.
Staff AI Engineer scaling safe, evaluated agentic AI across Maple’s Canadian on - demand healthcare platform. Defining architecture, governance, observability, and cost controls for product squads.
Staff AI Engineer leading Calix’s enterprise agent platform for broadband providers. Building agentic workflows, RAG pipelines, integrations, and governance across product development.