Pre Sales - AI Solution Architect

About Us Paytm is India's payment Super App offering consumers and merchants the most comprehensive payment services. As the pioneer of the mobile QR payments revolution in India, today, Paytm stands as India’s largest payment company by Users, Merchants, Payment Transactions, and Revenue. Paytm’s mission is to drive financial inclusion in India and bring half a billion Indians into the mainstream economy through technology-led financial Services. Paytm enables commerce for small merchants and distributes various financial services offerings to its consumers and merchants in partnership with financial institutions. Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to accept payments and Sound-box to reconcile payments via voice alerts. We are also distributing loans to these partners via our ‘Paytm for Business’ App.

About The Team Paytm Intelligence is building next-generation AI platforms across two key areas: AI inference infrastructure and agentic AI solutions. Our focus is on enabling enterprises to move from AI experimentation to production-grade deployment with measurable business outcomes. In the agentic AI space, we are building solutions such as Outreach Manager, CLM agents, and domain- specific AI agents that automate complex customer journeys across sales, service, and operations. These systems go beyond traditional chatbots, orchestrating workflows, decisions, and actions across enterprise systems.

About the Role We are hiring an AI Agentic Solutions Architect to drive enterprise adoption of AI-powered workflow automation. This role sits at the intersection of business process transformation, AI systems, and enterprise sales. You will work directly with enterprise customers to understand their workflows, identify automation opportunities, and design agentic solutions that deliver measurable outcomes such as cost reduction, conversion uplift, and improved customer experience.

Key Responsibilities Customer Journey and Workflow Design  Map end-to-end customer journeys across sales, support, and operations.  Identify high-impact automation opportunities.  Design agent-driven workflows across systems and teams. Solution Architecture  Design agentic AI systems including orchestration, APIs, and integrations.  Combine LLMs, rules, and enterprise systems into scalable architectures. Business Value Articulation  Translate solutions into measurable outcomes such as cost reduction and conversion uplift.  Support deal teams with ROI narratives. POC and Deployment  Lead proof-of-concept (POC) engagements with clear success metrics.  Ensure POCs convert to production deployments. Stakeholder Engagement  Engage both business and technical stakeholders.  Effectively handle skepticism stemming from prior enterprise AI failures. Reusable Playbooks  Build repeatable solution frameworks across industries.  Enable sales teams with structured use cases.