AI Transformation Practitioner

Project RoleAI Transformation Practitioner Project Role DescriptionResponsible for creating and delivering on the vision of an AI transformation. Guide and lead the execution of AI transformation projects. Must have skillsMicrosoft Copilot StudioAgentforceGood to have skillsAI Agents & Workflow IntegrationSalesforce Einstein AIMinimum 3 Year(s) Of Experience Is RequiredMinimum 3 Year(s) Of Experience Is Required Educational Qualification15 years full time education Role OverviewThe Marketing AI Automation & Agent Developer will support the Marketing organization by designing, building, testing, and maintaining AI-enabled agents, automations, and intelligent workflows that reduce manual work, improve operational speed, and help scale marketing execution. This role is primarily responsible for the handson development and operationalization of AI-enabled solutions across the marketing technology ecosystem, including agent configuration, workflow automation, prompt and knowledge design, testing, monitoring, and continuous improvement. This role will support futureforward Marketing priorities, including AIassisted campaign operations, lead flow support, platform workflow automation, service desk reduction, process optimization, content and web operations support, and more scalable ways of working across marketing systems. The role is not intended to be a traditional data science or enterprise AI research role instead, it is focused on practical, businessfacing AI and automation use cases that can be deployed, measured, governed, and improved over time. This role will operate within a broader U.S.-led Marketing Technology & Operations team structure, partnering closely with team leadership, platform owners, Web Operations, Integrated Data & Analytics, Demand Center, IT and our AI Hub, and business stakeholders to identify manual processes, define automation requirements, build AI-enabled solutions, validate outputs, and ensure solutions are accurate, secure, usable, and aligned to marketing business needs. Key ResponsibilitiesDesign, build, test, and maintain AI-enabled agents, assistants, and workflow automations that support Marketing Operations, campaign execution, platform operations, lead management, web operations, and stakeholder support processes.Translate defined business requirements and manual process pain points into practical AI and automation solutions that reduce repetitive work, improve speed, and increase operational scalability.Develop and maintain agent instructions, prompts, knowledge sources, workflows, rules, escalation logic, and human-in-the-loop controls to ensure AI-enabled outputs are accurate, useful, and governed.Support automation across marketing technology workflows, including intake, campaign operations, list and audience processes, lead flow support, platform ticket triage, QA tasks, documentation, and operational reporting inputs.Partner with U.S.-based team leadership and cross-functional stakeholders to prioritize AI and automation use cases, validate requirements, test outputs, and refine solutions based on user feedback and performance data.Work closely with platform administrators, data and analytics resources, and IT partners to ensure AI-enabled workflows are connected to the right systems, data sources, permissions, and operational processes.Conduct testing, QA, monitoring, and troubleshooting for AI agents and automations, including accuracy checks, failure analysis, regression testing, and continuous optimization.Document agent logic, automation workflows, prompts, data dependencies, governance rules, known limitations, and support processes so solutions can be maintained and scaled.Support responsible AI practices, including appropriate data usage, access controls, quality checks, review processes, and escalation paths for business-critical workflows.Stay current on emerging AI, agentic workflow, and automation capabilities and recommend practical ways Marketing Operations can use new functionality to reduce manual effort and improve operational performance.Required Skills And ExperienceHands-on experience building or configuring AI agents, copilots, chatbots, workflow automations, or intelligent assistants in a business environment.Experience with AI-enabled platforms, low-code/no-code automation tools, or agent development environments such as Microsoft Copilot Studio, Salesforce Agentforce/Einstein capabilities, Workato, Power Automate, Zapier, or similar tools is preferred.Strong understanding of prompt design, knowledge configuration, workflow logic, testing methods, and human-in-the-loop review processes.Ability to analyze manual processes, identify automation opportunities, and translate business needs into practical technical workflows.Experience working with APIs, integrations, webhooks, scripting, or lightweight development in JavaScript, Python, SQL, or similar languages is preferred but not required for every use case.Familiarity with Salesforce .