Agentic Workflow Specialist

Job Description & Summary

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 capabilitys continuous learning agenda.

Uphold PwC quality independence confidentiality and risk-management requirements.

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