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Lead Architect, Forward Deployed Engineer; Cogentiq

Job in New York, New York County, New York, 10261, USA
Listing for: Fractal
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Lead Architect, Forward Deployed Engineer (Cogentiq)
Location: New York

Role Overview

We are looking for Forward Deployed Engineers (FDEs) to join the founding Cogentiq team. As an FDE, you will work at the intersection of software engineering, AI, enterprise integration, and customer success. You will partner closely with enterprise customers to understand their business challenges, design AI‑powered solutions, build production‑grade integrations, and deploy Cogentiq into complex enterprise environments.

What You Will Do

Design and develop production‑grade AI applications using the Cogentiq platform. Deploy enterprise AI solutions from proof of concept to production. Build integrations with enterprise applications such as SAP, Salesforce, Workday, Service Now, SharePoint, Snowflake, Databricks, and other business systems.

Why It Might Be a Fit

Join the founding engineering team building Fractal’s flagship Enterprise AI platform. Work on cutting‑edge technologies including Generative AI, Agentic AI, Enterprise Context, Model Context Protocol (MCP), Knowledge Graphs, and AI Governance.

Requirements
  • Strong Software Engineering fundamentals
  • Experience in building production‑grade backend applications, REST APIs, microservices, and distributed systems
  • Proficient in working with databases, Git, and modern software development practices
  • Proficient in Python
  • Experience in Java or Type Script (being a plus)
  • Hands‑on experience building AI‑powered applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval‑Augmented Generation (RAG), tool calling, prompt engineering, and AI evaluation techniques
  • Experience with the Model Context Protocol (MCP) and modern AI orchestration frameworks is highly desirable
  • Experience integrating enterprise applications and platforms such as SAP, Salesforce, Workday, Service Now, SharePoint, Snowflake, Databricks, and other business systems
  • Experience with enterprise integration patterns, API‑first architectures, authentication mechanisms such as OAuth, JWT, and SAML, and are proficient working with SQL, REST, and GraphQL APIs
  • Experience building and deploying cloud‑native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes
  • Experience with CI/CD pipelines, event‑driven architectures, messaging platforms, observability, monitoring, and security best practices required to build reliable enterprise platforms
  • Experience working directly with customers, understanding their business challenges and translating them into elegant technical solutions
  • Communicating effectively with both technical and business stakeholders and are comfortable leading architecture discussions and technical workshops and thrive in environments where requirements evolve rapidly
Benefits
  • Health, dental, vision, life insurance, and disability plans
  • 401(k) Plan
  • 11 paid holidays
  • 12 weeks of Parental Leave
  • Free time PTO policy
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