Machine Learning Engineer designing and operating AI platform components for Mozilla. Collaborating with teams to ensure efficient and reliable deployment of machine learning models.
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.
LP
UAT Lead – Banking Domain
LinkedIn Recruiter Post
UAT Lead needed for banking domain in Toronto, ON (hybrid). Must have strong UAT experience, banking knowledge, and familiarity with JIRA, Azure DevOps, or HP ALM.
LP
Senior AI Application Engineer
LinkedIn Recruiter Post
Senior AI Application Engineer needed for hybrid role in Woodbridge, ON. Design and build AI - powered applications with LLMs, multi - agent systems, and full stack development.
Technical Lead for XR and AI Platforms at Aequilibrium, developing immersive training products. Leading technical direction and architecture for next - gen AI - powered solutions.
Applied AI Engineer at Bounteous building an enterprise - grade GenAI workflow platform. Supporting document data extraction and automated business processes across multiple lines of business.
LP
J2EE & Mainframe Developer
LinkedIn Recruiter Post
Seeking a skilled J2EE and Mainframe Developer for a short - term contract with a Banking client in Downtown Toronto.
LP
AI Engineer / AI Developer
LinkedIn Recruiter Post
Seeking an AI Engineer with 5+ years experience in Python, Spark, LLMs, and cloud platforms to build and deploy scalable AI solutions.
Go - to - Market AI Engineer at Equisoft creating agentic workflows for marketing and customer support teams. Focused on building AI tools and integrations for improved customer success.
Product Manager overseeing AI platform development at Supabase. Engaging with a range of customers and defining product requirements and success metrics.
Business Development Associate for AI Platform helping software companies grow in B2B insurance. Collaborating with founders and targeting senior decision - makers for pipeline development.