Lead Architect: Product Engineer

Posted 10 Hours Ago
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2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Consulting
The Role
Lead the engineering side of an agentic AI invoice-to-cash product, owning architecture, front end, services, data, infrastructure, platform decisions, delivery, quality, CI/CD, releases, and incident response. Manage and coach engineers while contributing code to complex areas. Partner with AI leadership and product management on system interfaces, feasibility, sequencing, trade-offs, and roadmap execution.
Summary Generated by Built In

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!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills Required

  • Ten to fourteen years of software development experience
  • At least three years leading a team or full product build
  • Experience owning technical design for a product
  • Deep expertise in at least one engineering tier and working knowledge across front end, services, data, and infrastructure
  • Strong Python and production experience with FastAPI or an equivalent service framework
  • Practical experience with React or Next.js
  • Data engineering experience with Spark, Databricks, Delta Lake, and SQL
  • Understanding of LLM and agentic systems
  • Product engineering experience building software for multiple clients
  • Experience with version control, CI/CD, automated testing, environment management, and incident handling
  • Cloud experience with Azure or an equivalent platform
  • Order-to-cash or accounts receivable domain knowledge
  • Familiarity with SAP FI-AR or an equivalent system
  • Enterprise integration experience, including ERP connectors, schema drift, and reconciliation
  • Multi-tenant platform experience, including access control and tenant separation

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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