Role & responsibilities

Preferred candidate profile

Perks and perks

Role Purpose

The Agent Curator is responsible for governing, training, validating and continuously improving the portfolio of AI Agents deployed across the Purchase-to-Pay service.

The role acts as the operational bridge between:

- bp business stakeholders
- Wipro operations teams
- AI engineering teams
- Process design teams
- Knowledge Graph teams

The Agent Curator ensures agents:

- perform accurately
- operate safely
- remain compliant
- continuously improve
- deliver measurable business value

Unlike an AI developer, the Agent Curator does not build the underlying models.

Instead, the role owns:

"How agents behave in production and whether they are actually delivering the intended operational outcomes."

Key Responsibilities

1. Agent Performance Ownership

Own operational performance for all P2P agents including:

- Requisition validation agents
- Contract compliance agents
- Supplier support agents
- Invoice processing agents
- Payment control agents
- Exception management agents
- Reporting and analytics agents

Ensure each agent:

- operates within approved boundaries
- delivers expected business outcomes
- remains compliant with policies and controls

2. Agent Training & Continuous Learning

Identify opportunities to improve agent performance through:

- prompt refinement
- workflow optimisation
- exception analysis
- pattern identification
- human feedback loops
- knowledge expansion

Work with operational teams to capture:

- recurring exceptions
- missed opportunities
- escalation patterns
- quality concerns

and feed these improvements back into the agent design process.

3. Human-in-the-Loop Governance

Design and maintain clear rules for:

- agent decisions
- escalation thresholds
- approval workflows
- exception handling
- human intervention points

Ensure sensitive activities remain appropriately governed.

Examples include:

- payment-related decisions
- supplier master changes




- sanctions-related activities
- exception approvals
- policy breaches

4. Agent Validation & Certification

Own operational acceptance and sign-off of agents before production deployment.

Validate:

Accuracy

- Correct recommendations
- Correct actions
- Correct outputs

Risk

- Compliance adherence
- Control compliance
- Security considerations

Business Impact

- Productivity impact
- Service improvement
- User adoption
- Outcome achievement

Maintain a formal agent certification process.

5. Knowledge Graph & Data Readiness

Work closely with the Knowledge Graph team to ensure agents have access to:

- Contracts
- Price books
- Catalogues
- Supplier information
- POs
- PRs
- SESs
- GRs
- Policies
- Procedures

Identify gaps that impact agent performance and prioritise remediation.

6. Exception Management

Own the operational review of:

- Agent mistakes
- Hallucinations
- Incorrect recommendations
- Failed automations
- Escalation failures
- Compliance exceptions

Conduct root-cause analysis and coordinate corrective actions.

The focus is on:

preventing recurrence rather than simply correcting errors.

7. Business Stakeholder Engagement

Serve as the primary operational interface between:

- bp business users
- Procurement teams
- Operations teams
- AI engineering teams

Gather business feedback and translate it into:

- agent improvements
- new use cases
- updated workflows
- enhanced controls

8. Agent Adoption & Change Management

Monitor:

- agent utilisation
- adoption rates
- user feedback
- satisfaction
- business trust

Develop interventions to improve:





- user confidence
- adoption
- effectiveness

Key Deliverables

The Agent Curator will own:

- P2P Agent Inventory
- Agent Certification Register
- Agent Performance Dashboard
- Agent Improvement Backlog
- Human-in-the-Loop Governance Framework
- Agent Training & Validation Plans
- Agent Risk Register
- Agent Exception Logs
- Agent Adoption Scorecards
- Quarterly Agent Value Assessments

Critical Success Measures

Success will be measured through:

Agent Performance

- Agent accuracy
- Recommendation quality
- Successful task completion

Adoption

- User adoption
- Active utilisation
- Stakeholder satisfaction

Compliance

- Policy adherence
- Control effectiveness
- Audit readiness

Business Value

- Productivity gains
- Exception reduction
- Resolution speed improvements
- Outcome achievement

Continuous Improvement

- Reduction in agent-related incidents
- Improvement in agent accuracy
- Increased automation coverage

Required Experience

Essential

- 510 years experience in:
- Procure-to-Pay operations
- Shared Services
- Procurement operations
- Process improvement
- Automation
- Strong understanding of:
- Requisitioning
- Purchase Orders
- Invoice Processing
- Supplier Operations
- Payments
- Experience working with:
- AI copilots
- Workflow automation
- Digital transformation initiatives

Preferred

- Agentic AI operational experience
- SAP / Ariba / VIM experience
- Process Mining experience
- Knowledge Management experience
- Prompt Engineering exposure
- Generative AI governance knowledge

Behavioural Profile

The successful candidate will be:

- Curious about AI
- Process-focused
- Operationally minded
- Analytical
- Detail-oriented
- Strong communicator
- Comfortable challenging both technology teams and operations teams

Most importantly:

Able to translate business requirements into agent behaviours, and agent capabilities into business outcomes.

📌 Manager (Pune)
🏢 Crescendo Global Leadership Hiring India
📍 Pune