Agentic Workflow Specialist

Job Description & Summary The opportunity Redesign complex business work into effective human-agent workflows and translate process intent into executable orchestration, controls and acceptance criteria. What you will be doing · Decompose processes into goals, tasks, decisions, tools, exceptions and hand-offs suitable for agent execution. · Design multi-agent orchestration, human approvals, escalation paths and fallback behavior. · Define business rules, permissions, audit points and workflow-level acceptance criteria. · Configure suitable workflow, automation or low-code components and collaborate on custom implementation. · Facilitate simulation, user testing and iterative workflow improvement. · Measure cycle time, quality, effort, throughput and other workflow-value indicators. What we need from you · 5+ years in process transformation, intelligent automation, business analysis, product ownership or workflow implementation. · Strong process-mapping, requirements, controls and facilitation skills. · Working knowledge of agents, APIs, workflow engines, low-code platforms and human-in-the-loop design. · Ability to bridge operational users and engineering teams in agile delivery. Relevant AI technologies and tooling · Practical ability to model processes using BPMN or an equivalent notation and translate them into deterministic, agentic and hybrid orchestration patterns. · Working knowledge of agent concepts including tools, state, memory, hand-offs, human approvals, exception paths, audit events and structured outputs. · Experience with at least one workflow or low-code platform such as Microsoft Copilot Studio and Power Automate, Camunda, UiPath, n8n or equivalent; exposure to LangGraph or similar graph-based orchestration is desirable. · Ability to define tool contracts, business rules and acceptance tests with engineers, including permissions, fallbacks, timeouts, retries and escalation criteria. · Experience with process mining or task analysis tools such as Celonis, Microsoft Process Mining or equivalent is advantageous for identifying and measuring automation opportunities. Measures of success · Workflow value and performance improvement · Quality of process and exception design · User acceptance and adoption · Reduction of manual hand-offs and unresolved exceptions · Clarity of acceptance criteria and controls Key interfaces · Other members of the AI Transformation & Agentic Systems Practice · PwC sector, functional, cloud, cyber, risk, Responsible AI and change specialists · Client business owners, product owners, technology teams and operational users · Technology alliance and implementation partners where relevant Contribution to the practice · Support proposals, client workshops and market development appropriate to seniority. · Contribute reusable methods, patterns, code, assets and lessons learned. · Coach colleagues and participate in the capability’s continuous learning agenda. · Uphold PwC quality, independence, confidentiality and risk-management requirements. #LI-BS1 #LI-Hybrid