AI Agent Manager, Inference and Agentic AI
Noida, India
Paytm Intelligence
About Paytm
Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million
merchants across payments, financial services, and commerce. Over the years, Paytm has built
deep in-house capabilities across technology, data, and operations to operate at scale with high
reliability.
Paytm has developed its own AI Agentic Platform, proprietary AI models for payments and credit,
and a text and voice based AI conversation stack that powers business critical workflows internally.
Paytm’s QR codes, soundbox, and real time settlements transformed how small and medium
merchants operated in India. With AI agents now being built and deployed at scale internally at
Paytm, we aim to create a similar shift for the next generation of Paytm employees, merchants,
users, and enterprise clients globally.
About the Team
Inference and Agentic AI is a cross functional team spanning engineering, product, data science,
pre-sales, and sales. The team owns the full lifecycle of agent based AI solutions, from problem
discovery and solution design to deployment and scale.
The team works closely with internal Paytm businesses and external enterprise clients to design
and deploy AI agents across use cases such as outbound sales agents, customer support agents,
risk operations agents, business analyst agents, and lending collections agents. Several of these
agents are already deployed and scaled successfully within Paytm, handling high volume, business
critical workflows.
About the Role
Paytm is looking to hire AI Agent managers who will play a pivotal role in client success for Paytm
agent based AI engagements.This role sits at the intersection of client problem discovery, applied
AI solutioning, and hands-on implementation, with ownership from the first client conversation
through production deployment and ongoing iteration.
Agent Architects work with clients to understand business problems, design AI agent driven
solutions, build proofs of concepts (POCs), deploy AI agents and integrate with client systems, and
continuously improve outcomes post deployment. This is a high-ownership role for individuals who
enjoy operating with autonomy, navigating ambiguity, and seeing problems through from first spark
to durable outcomes - while working cross-functionally across product, engineering, and
commercial teams to make AI work in the real world.
Key Responsibilities
Client problem solving and ownership
- Engage with client stakeholders to understand business problems, operating pain points,
and success metrics
- Translate ambiguous problem statements into structured solution approaches and agent
driven workflows and ensure alignment on end outcomes
- Act as the point of contact for the client post sale, accountable for delivery, adoption, and
satisfaction
Product solutioning and POC
- Identify suitable agent based use cases and solution approaches using Paytm’s Agentic
Platform
- Define agent logic, conversation flows, agent workflow, and performance metrics
- Design and build POCs through hands-on platform configuration and prompt engineering
- Continuously iterate on the POCs using client feedback, until the AI Agent becomes
production ready
Implementation and integration
- Lead deployment of AI agents by integrating with client systems such as CRMs, ticketing
tools, data sources, and internal platforms
- Work closely with engineering and product teams to resolve integration gaps and improve
platform capabilities
- Ensure solutions are production ready, scalable, and aligned with client operating
constraints and/or brand/regulatory guidelines
Iteration, feedback, and improvement
- Collect structured feedback from clients and end users post deployment
- Continuously refine agent behavior, prompts, and workflows to improve outcomes
- Track adoption, performance, and business impact against defined success metrics
Ideal Candidate Profile
Experience
- 1 to 2 years experience in product management, sales engineering or technical
implementation / solutioning
Core skills
- Product oriented mindset with comfort working in ambiguous problem spaces
- Client relationship and stakeholder management
- Strong structured problem solving and solution design ability
- Clear executive communication and storytelling skills
Technical orientation
- Comfortable with workflow configuration and prompt engineering (not just using ChatGPT
for day to day work)
- No core coding required, but light scripting experience preferred (Exposure to Python or
Javascript is a plus)
- Prior experience working closely with engineers or product teams is valued
- Prior experience in building AI Agents on platforms such as n8n, Make.com, VAPI,
ElevenLabs is highly valued
- Prior experience working on dedicated GenAI strategy or AI transformation projects is also
valued
- Familiarity with SQL, APIs, event based systems, and data pipelines good to have
Mindset
- High ownership and accountability for outcomes
- Willingness to work hands on and iterate quickly
- Ability to manage multiple client engagements in parallel
Education
1. Bachelor’s from a top-tier college (must have)
