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# AI Solutions Architect

- **Company:** Insight Global
- **Location:** Durham, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Cloud Engineering, Customer Data Management, Data as a Services, Python (Programming Language), Machine Learning, Automation of Marketing, Software Engineering, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Machine Learning Operations, Virtual Agents, Automation Anywhere
- **Published:** August 14, 2026
- **Apply:** https://www.juju.com/job/00000000gmyo4y

## About the Role

Must Have Skills

 * 5+ years of software engineering, AI engineering, or machine learning experience.

 * Proven experience building agentic AI solutions and autonomous AI workflows in production environments.

 * Hands-on experience with:

o OpenAI

o Google Gemini

o Anthropic Claude

o Writer AI

 * Expert-level experience with:

o Python

o LangChain

o LangGraph

o n8n

 * Strong data science and machine learning background.

 * Experience integrating APIs, data services, and external systems into AI workflows.

 * Understanding of prompt engineering, RAG architectures, vector databases, and AI agent frameworks.

 * Experience deploying scalable cloud-based AI applications. * Pharmaceutical, healthcare, or regulated industry experience.

 * Experience supporting digital marketing organizations.

 * Knowledge of marketing automation platforms.

 * Experience with customer engagement platforms, CRM systems, and campaign management tools.

 * Familiarity with MCP (Model Context Protocol) implementations and AI orchestration standards.

 * Experience building multi-agent systems and AI copilots.

## Description

* Design and develop AI-powered agentic solutions leveraging leading LLM platforms including OpenAI, Gemini, Claude, and Writer.

 * Build a scalable AI orchestration layer utilizing n8n, LangChain, and LangGraph.

 * Develop autonomous and multi-agent workflows to support digital marketing campaign creation and optimization.

 * Integrate enterprise APIs, data sources, MCP services, and third-party platforms into AI-driven workflows.

 * Collaborate with business stakeholders, marketers, and technical teams to translate marketing use cases into AI-enabled solutions.

 * Create systems that generate marketing assets including email campaigns, social media content, digital advertisements, and campaign recommendations.

 * Develop and optimize Python-based services, automation pipelines, and machine learning workflows.

 * Implement best practices around AI governance, observability, prompt engineering, and model performance.

 * Analyze marketing and customer data to generate actionable insights that can be consumed by AI agents and downstream marketing teams.


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