Lead Architect: Product Engineer

Fractal Analytics Ltd.; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Fractal Analytics Ltd. is seeking an experienced engineering leader to design and own the technical architecture of Cogentiq I2C. You will drive platform decisions, deliver across frontend, service layer and data tiers, and maintain code quality and performance.

You will lead the engineering team, set standards, and collaborate with product management to align feasibility, sequencing and trade-offs with external commitments. Strong Python, FastAPI, and cloud experience are essential.

Qualifications

• Ten to fourteen years of software development experience with leadership responsibilities.
• Deep Python expertise with production systems built on FastAPI or equivalent.
• Strong frontend experience with React or Next.js and data engineering with Spark/Databricks.
• Knowledge of LLM/agentic systems and cloud platforms (Azure).

Responsibilities

• Own the technical design of the engineering side and platform decisions.
• Deliver across frontend, service layer, data tier and infrastructure.
• Set coding standards, review quality, testing, performance and debt management.
• Lead the engineering team, coach engineers, and balance feasibility with product goals.

Skills

Python

FastAPI

React

Next.js

Spark

Databricks

Delta Lake

SQL

LLM

Agentic systems

Azure

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. The role Cogentiq I2C is Fractal's agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL. The product is led by two engineering leads at the same level. One owns the AI side: agents, models and everything that makes them work. You own the engineering side: the application, the services, the data and the platform they run on. You design it, you lead the team that builds it, and you write code yourself.

What you will own

Technical design of the engineering side, including the platform decisions that shape what can be built later. Delivery across the front end, the service layer, the data tier and the infrastructure they run on. The interfaces between your side and the agent runtime, agreed jointly with the AI Lead. Technical quality: code review standards, testing, performance, and the trade-offs taken to hit a date. Engineering health: CI/CD, environments, release process, technical debt and incident response. The engineering plan: breaking the roadmap into sprint work, estimating honestly, and flagging slippage early.

How you will work

Lead the engineering team. Set standards, coach engineers, and keep the team unblocked. Stay in the code. Take the hardest slices yourself and set the patterns others follow. Work with product management on feasibility, sequencing and trade-offs, so external commitments are grounded.

What you must have

Ten to fourteen years building software, with at least three leading a team or a full product build. Track record of owning technical design for a product, not only implementing someone else's design. Deep expertise in at least one tier, and enough working command of the others to lead, review and debug across all of them. Strong Python, and production experience with FastAPI or an equivalent service framework. Practical experience of a modern front end, typically React or Next.js, enough to hold the standard even if you are not the primary developer. Data engineering depth: Spark and Databricks, Delta Lake, SQL, and sound judgement on what belongs in a lakehouse and what belongs in PostgreSQL. Enough understanding of LLM and agentic systems to build the platform they depend on and to hold engineering side of a design. Product engineering track record: software built for many clients, not one-off delivery for a single engagement. Working engineering discipline: version control, CI/CD, automated testing, environment management, structured incident handling. Cloud experience on Azure or equivalent. Good to have Order-to-cash or accounts receivable domain knowledge, and familiarity with SAP FI-AR or an equivalent. Enterprise integration experience: ERP connectors, schema drift, reconciliation. Multi-tenant platform experience, including access control and tenant separation.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

India: [e-mail] Outside India: [e-mail]

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At Fractal, towards our goal of "powering every human decision in the enterprise", our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal's expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.