Job ID: 840044

2 - 5 Years

3 Openings

Bangalore, Mumbai, Noida

Agent Architect, Inference and Agentic AI

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 Agent Architects who will act as the primary owner of client success for agent based AI engagements. This role is designed for management consultants from top-tier consulting firms with 2 to 5 years of experience, who enjoy working at the intersection of client problem solving, product solutioning, and hands-on implementation.

Agent Architects work directly 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, requiring close collaboration with product, engineering, and sales teams.

Key Responsibilities

As an Agent Architect, you will be responsible for end to end ownership of client engagements for Paytm’s agent based AI solutions.

Client problem solving and ownership

- Engage directly with senior 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 single point of ownership 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

Collaboration and commercial support

- Collaborate with sales teams during solutioning and closure by contributing to use case definition and demos

- Support future expansion and upsell opportunities by identifying additional high impact agent use cases

- Contribute client learnings back into platform and product improvements for reuse across clients

Ideal Candidate Profile

Experience

- 2 to 5 years at top-tier consulting firms

- Strong client facing experience with ownership of workstreams

Core skills

- Excellent client relationship and stakeholder management skills

- Robust structured problem solving and solution design ability

- Product oriented mindset with comfort working in ambiguous problem spaces

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

Consulting toolkit

- Clear executive communication and storytelling skills

- Ability to create structured decks and solution narratives

- Comfortable with financial modelling and impact estimation

- Comfortable working on Google sheets, Google docs and Google slides

Mindset

- High ownership and accountability for outcomes

- Willingness to work hands on and iterate quickly

- Ability to manage multiple client engagements in parallel

Education

- Bachelor’s from a top-tier college (must have)

- MBA from a top-tier college (good to have)

📌 Agent Architect - Inference and Agentic AI (India)
🏢 Paytm
📍 India