The Senior AI & Automation Engineer is a hands-on individual contributor responsible for designing, developing, and deploying advanced AI-driven automation solutions across the enterprise. This role focuses on building intelligent virtual agents, backend automation services, and scalable integrations using modern AI platforms and frameworks.

The ideal candidate brings strong experience in conversational AI, agentic AI systems, generative AI, and Python-based automation, along with a solid understanding of LLMs, prompt engineering, Model Context Protocol (MCP), and LLMOps concepts. You will work closely with product owners, business stakeholders, QA partners, and other engineers to deliver high-quality AI solutions that automate workflows and improve employee experience across IT, HR, Procurement, and Operations.

This role is hands-on and delivery-oriented, with opportunities to mentor others and contribute to shared technical standards.

Group Manager JD-

Key Responsibilities

1. End-to-End P2P Ownership

• Own complete P2P lifecycle: Vendor Master, Invoice Processing, 2/3-Way Matching, Exception Handling, Payments, and Reconciliations

• Ensure adherence to financial controls, audit requirements, and SOX compliance• Drive consistent SLA, TAT, accuracy, and cost-to-serve improvements

2. Client & Stakeholder Management• Act as primary P2P escalation point for Finance, Accounting, and Operations leaders

• Lead QBRs, MBRs, and governance forums, presenting insights, trends, and corrective action plans

• Translate client business needs into execution-ready operating models

3. Team Leadership & Workforce Management

• Lead multi-location P2P teams (India / Philippines as applicable)• Drive productivity, utilization, cross-skilling, and succession planning

• Build a strong performance culture with clear KPIs, coaching, and accountability

4. Transformation, Automation & Analytics• Identify automation opportunities across invoice ingestion, OCR, duplicate detection, tolerance checks, and payment controls etc

• Partner with WNS Digital / Automation teams to deploy RPA, analytics, and workflow optimization

• Build dashboards and MIS with actionable insights (aging, exception root causes, vendor behavior)

5. Risk, Compliance & Controls• Ensure zero tolerance for control breaches, duplicate payments, or audit failures• Lead internal/external audits and closure of observations• Strengthen vendor compliance, documentation, and approval governance

6. Financial & Commercial Ownership• Own cost, productivity, and margin targets for the client's P2P scope

• Support pricing discussions, scope changes, and future growth opportunities

• Drive continuous value articulation for client (beyond BAU delivery)

• Design, develop and implement the Kafka ecosystem by creating a framework for using technologies such as Kafka Connect, KStreams/KSQL, Attunity, Schema Registry, and other streaming-oriented technology

• Help build the DevOps strategy for hosting and managing our SDP microservice and connector infrastructure in AWS cloud
• Experience with design/implementing big data technologies around Apache Hadoop, Kafka streaming, No SQL, Java/J2EE and distributed computing platforms in large enterprises where scale and complexity have been tackled.
• Experience participating in Agile development projects for enterprise-level systems component design and implementation
• Understand and application of enterprise software design for implementation of data services and middleware.
• You will be reporting to a Senior Manager of Engineering