Architect, Forward Deployed Engineer (Cogentiq)
Core
Design, build, and deploy production-grade Enterprise AI solutions and integrations for Fortune 500 customers using the Cogentiq platform.
Role type
Senior Forward Deployed Engineer (Enterprise AI)
Builds
Production AI agents, enterprise integrations, connectors, APIs, and cloud-native backend services for complex business environments.
Domain
Enterprise AI, Generative AI, Agentic AI, Cloud Infrastructure, Enterprise Systems Integration
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), REST APIs, Microservices, Cloud-native architecture (Azure/AWS/GCP), Docker, Kubernetes, SQL, GraphQL, OAuth/JWT/SAML, Model Context Protocol (MCP)
Preferred skills
Java, TypeScript, AI evaluation techniques, Knowledge Graphs, AI Governance
Technologies
Cogentiq, SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, Azure, AWS, Google Cloud, Docker, Kubernetes, MCP
Responsibilities
Design and develop production-grade AI applications; build integrations with enterprise applications; develop reusable connectors, APIs, and SDKs; troubleshoot production deployments and optimize performance; collaborate with customer teams to understand requirements and deliver solutions; transform deployment learnings into reusable platform capabilities.
Seniority
Senior, hands-on IC
