
AI Business Process Automation Manager
- Pune, Maharashtra
- Permanent
- Full-time
- Project Information Collection & Validation
- General Troubleshooting Support
- Automatically generated Service Request Notes
- Drafting Auto Knowledge Articles
- This is a high-impact role where you will shape how Avaya leverages AI to create measurable efficiency and elevate customer experience.
- Process Discovery & Analysis:
- Work across Service functions (e.g. Support Escalation, Service Desk, Knowledge Management) to uncover recurring tasks, bottlenecks, and CX pain points.
- Define automation and AI use cases with quantifiable ROI and improved CSAT.
- Solution Design & Strategy:
- Architect end-to-end AI-powered workflows leveraging LLMs, RAG models, Agentic approaches, MCP and A2A protocols.
- Determine data sources, integration touchpoints, and API-based flows across systems.
- Implementation & Delivery:
- Lead cross-functional projects with IT, ServiceNow, data engineering, and UX teams.
- Develop Python-based automation components or work with partners to build solutions.
- Oversee pilots, iterate based on feedback, and scale successful deployments.
- Governance & Quality Assurance:
- Ensure ethical, secure and compliant model usage (e.g. in prompting and context management).
- Monitor performance, accuracy, and adoption metrics; implement feedback loops for continuous improvement.
- Change Management & Enablement:
- Collaborate with operations, training, and knowledge teams to enable adoption and user readiness.
- Create documentation, run training sessions, and support communications and roll-out plans.
- Vendor & Partner Engagement:
- Evaluate and manage third-party AI platform providers or consulting partners as needed.
- Stay current on emerging AI technologies (e.g. Google AgentSpace integrations, RAG frameworks) to bring innovative ideas to Avaya.
- Education & Experience
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years in business process improvement, automation, or AI-enabled delivery roles.
- Prior experience implementing AI systems (LLMs, RAG, prompting workflows, agents) in a service operations context is preferred.
- Technical Skills
- Strong understanding of AI concepts: LLMs, RAG models, prompting, memory/context strategies (MCP), multi-agent workflows (A2A).
- Hands-on in Python scripting for automation and orchestration.
- Familiar with API-first design and tying systems (ServiceNow, ticketing systems, CRMs, knowledge bases) together.
- Bonus: experience with Google AgentSpace or similar agent orchestration platforms.
- Platform Experience
- ServiceNow experience a strong advantage: building workflows, integrations, knowledge articles, and automating request flows.
- Soft Skills
- Excellent collaboration and stakeholder management across Service, IT, Knowledge, Operations.
- Strong analytical mindset and data-driven approach to process mapping and ROI modeling.
- Exceptional communication, able to translate complex AI topics into business value.
- Self-starter, agile, and able to adapt in evolving, fast-paced environments.