Job description
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.
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