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

Forward Deployed Engineer (FDE) – Cogentiq

About Cogentiq

Cogentiq is Fractal's Enterprise AI platform that enables organizations to build, deploy, and govern intelligent AI agents grounded in enterprise context. By connecting AI with enterprise knowledge, business systems, and workflows, Cogentiq empowers enterprises to solve complex business problems with trustworthy, scalable, and production-ready AI.

Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi-agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low-code development console, Agent & MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.

About the Role

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. Beyond customer implementations, you'll help shape the evolution of the Cogentiq platform by transforming deployment learnings into reusable platform capabilities, connectors, and best practices.

This role is ideal for engineers who enjoy solving ambiguous, real-world problems, thrive in fast-paced environments, and are excited to build the next generation of Enterprise AI.

What You'll 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, 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.

What We're Looking For

Strong Software Engineering: You have strong software engineering fundamentals and are proficient in Python, with experience in Java or TypeScript being a plus. You have built production-grade backend applications, REST APIs, microservices, and distributed systems, and are comfortable working with databases, Git, and modern software development practices.

AI Engineering: You have 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.

Enterprise Integration: You have experience integrating enterprise applications and platforms such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems. You understand enterprise integration patterns, API-first architectures, authentication mechanisms such as OAuth, JWT, and SAML, and are comfortable working with SQL, REST, and GraphQL APIs.

Cloud & Platform Engineering: You have experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes. You understand CI/CD pipelines, event-driven architectures, messaging platforms, observability, monitoring, and security best practices required to build reliable enterprise platforms.

Customer & Product Mindset: You enjoy working directly with customers to understand their business challenges and translate them into elegant technical solutions. You communicate effectively with both technical and business stakeholders, are comfortable leading architecture discussions and technical workshops, and thrive in environments where requirements evolve rapidly. You take ownership of outcomes, learn quickly, prototype rapidly, and continuously look for opportunities to transform customer-specific solutions into reusable platform capabilities.

Why Join Cogentiq?

• 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.

Our Ideal Candidate

We're looking for engineers who enjoy solving real customer problems, not just implementing predefined tickets. You should be equally comfortable writing production-grade code, designing enterprise integrations, collaborating with customer teams, and shaping the future of the Cogentiq platform. If you're excited about building enterprise-grade AI systems that create meaningful business impact, we'd love to hear from you.