Architect, Forward Deployed Engineer (Cogentiq)

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.

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 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; 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 and platforms such as SAP, Salesforce, Workday, ServiceNow, 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; Experience in ownership of outcomes, learn quickly, prototype rapidly, and continuously look for opportunities to transform customer-specific solutions into reusable platform capabilities

Nice to have

Experience in Java or TypeScript; Experience with the Model Context Protocol (MCP) and modern AI orchestration frameworks

Benefits

Health, dental, vision, life insurance, and disability plans; 401(k) Plan; 11 paid holidays; 12 weeks of Parental Leave; free time PTO policy; discretionary bonus