Agentic Workflow Specialist

Redesign complex business work into effective human-agent workflows and translate process intent into executable orchestration, controls and acceptance criteria.

·        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.

·        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.

·        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.

·        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

·        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

·        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.

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