Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

Cogentiq is Fractal's Enterprise AI platform that enables organizations to build, deploy, and govern intelligent AI agents grounded in enterprise context. 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.

Responsibilities

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, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems; Develop reusable connectors, APIs, SDKs, MCP servers, and automation components; Design secure, scalable, cloud-native architectures and build reliable backend services and microservices; Collaborate directly with customer engineering and business teams to understand requirements, conduct technical workshops, and deliver successful AI solutions; Troubleshoot production deployments, optimize system performance, and ensure reliability and security; Capture learnings from customer deployments and contribute reusable capabilities back to the Cogentiq platform; Work closely with AI engineers, platform engineers, product managers, and solution architects to continuously improve the platform

Requirements

Strong Software Engineering; proficient in Python; experience with Java or TypeScript; built production-grade backend applications, REST APIs, microservices, and distributed systems; comfortable working with databases, Git, and modern software development practices; 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 integrating enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems; understanding enterprise integration patterns, API-first architectures, authentication mechanisms such as OAuth, JWT, and SAML; comfortable working with SQL, REST, and GraphQL APIs; experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes; understanding CI/CD pipelines, event-driven architectures, messaging platforms, observability, monitoring, and security best practices; enjoy working directly with customers; communicate effectively with both technical and business stakeholders; comfortable leading architecture discussions and technical workshops; thrive in environments where requirements evolve rapidly; take ownership of outcomes; learn quickly; prototype rapidly

Nice to have

Java; TypeScript; Model Context Protocol (MCP); modern AI orchestration frameworks

Benefits

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; Solve complex enterprise challenges for some of the world's leading organizations; Influence both customer success and the future direction of the Cogentiq platform; Build reusable capabilities that will power enterprise AI deployments across industries; Collaborate with a team passionate about redefining how enterprises adopt and scale AI