> Markdown version of [/jobs/ext/2859121-genai-architect](https://www.wearedevelopers.com/jobs/ext/2859121-genai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Architect - **Company:** Ampcus Inc - **Location:** Dallas, TX, United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, OAuth, Large Language Models, Snowflake, Appian - **Published:** September 12, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18276227?backUrl=%2Fcareer%2F18276227%2FGenai-Architect-Texas-Dallas ## About the Role * 12 years software/AI engineering; 1-2 years enterprise AI or agentic system design. * Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI. * Strong API integration: REST, OAuth. * MCP / tool-layer design for LLM agents; FASTMCP a strong plus. * Financial services platforms (DealCloud, Backstop, or similar) advantageous. ## Description * Owns end-to-end client delivery for the project team. * Owns end-to-end technical direction and client alignment for the agentic AI platform. * Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, DealCloud, Backstop CRM, Snowflake, and Graph DB. * Project prioritization and SPOC for Persistent for any queries. * Stakeholder management. * Risk management. * Participate in status report and governance meetings. Responsibilities * Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration. * Define integration strategy leveraging existing client APIs, minimizing custom build. * Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB. * Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking. * Collaborate with client stakeholders (business IT) to validate use cases. * Guide the offshore team (AI/ML engineers, data engineers). ## Related Videos - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) - [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)