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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (MLE Architect - Agentic Workflows & Enterprise Integration) - **Company:** Quantiphi, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Cursor (Graphical User Interface Elements), Distributed Systems, Amazon DynamoDB, Middleware, Identity and Access Management, Python (Programming Language), Enterprise Messaging Systems, RabbitMQ, Role-Based Access Control, Systems Integration, Web Applications, Workflow Management Systems, GitHub Copilot, ReactJS, Fast Healthcare Interoperability Resources, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Event Driven Architecture, Deployment Automation, Health Level Seven International, Enterprise Integration, Api Design, Web Architecture, GPT, Automation Anywhere - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/40789b81-c023-4fc0-adfd-8717936e0859 ## About the Role * Agentic Workflows & AI Systems * Expert-level understanding of agentic workflow patterns, Multi-agent orchestration + Tool-based reasoning and execution + Human-in-the-loop controls + Workflow state, memory, and evaluation * Strong proficiency in Python, with hands-on experience building AI agents and workflow systems * Expert-level experience with LangGraph or equivalent agent orchestration frameworks * Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments * Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration * Enterprise Integration & Architecture * Expert-level understanding of enterprise integration patterns, including: + Event-driven and asynchronous integration + API-based and message-based communication + Workflow orchestration and choreography + Integration with shared enterprise services * Strong understanding of web architecture, distributed systems, and cloud native design * Proven experience designing and operating multi-tenant platforms * Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement * Front End, Cloud & Delivery * Advanced experience building React web applications * Expert-level understanding of AWS, including: + DynamoDB + EventBridge + Messaging systems (e.g., RabbitMQ) + Middleware and integration services + VPC networking, IAM, and security boundaries * Strong experience with CI/CD pipelines and automated deployments * Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight * Occasional travel for customer or on-site builds may be required, * Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms * Familiarity with FHIR and HL7 standards * Experience building customer-facing enterprise platforms * Background in platform engineering or internal developer platforms (IDPs) ## Description * Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns * Translate inputs from internal product teams into scalable, AI-powered workflows and services * Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation * Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems * Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability * Design and operate event-driven architectures using AWS native services and messaging middleware * Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations * Develop React-based front-end applications supporting complex, AI assisted user workflows * Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems * Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance * Support customer deployments, including occasional on-site builds and integrations * Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Beyond Kafka & RabbitMQ: Why NATS is the Future of Microservices Messaging](https://www.wearedevelopers.com/videos/1646-beyond-kafka-rabbitmq-why-nats-is-the-future-of-microservices-messaging) - [Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding](https://www.wearedevelopers.com/videos/1604-supercharge-agentic-ai-apps-a-devex-driven-approach-to-cloud-native-scaffolding) - [Why Systems Break After Initial Success: The Architectural Failures That Take Months to Surface](https://www.wearedevelopers.com/videos/2048-why-systems-break-after-initial-success-the-architectural-failures-that-take-months-to-surface) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)