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# Senior Principal Architect Agentic AI & Digital Platforms

- **Company:** HDJ & Associates INC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Graph Database, Python (Programming Language), Management of Software Versions, Web Platforms, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Hallucination Detection, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, CrewAI, AutoGen, Machine Learning Operations, Virtual Agents, Model Context Protocol, Semantic Kernel, Human in the Loop
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/d64c23ff-f106-4f9d-8ecf-39281dbeec09/senior-principal-architect-agentic-ai-digital-platforms

## About the Role

* 12-18 yrs enterprise/platform architecture
 * 3-4+ yrs AI/ML or GenAI in production
 * Shipped LLM-based agent systems (not POC)
 * Hands-on: LangGraph / LangChain / Semantic Kernel / CrewAI / AutoGen
 * ReAct, multi-agent hand offs, RAG, MCP knowledge
 * Architected against hallucination, tool misuse, cost runaway
 * Python proficiency + reference implementations
 * Translates tech * business value for VPs

Preferred:

 * Direct retail / commerce domain exposure
 * LLMOps depth (LangSmith / Langfuse)
 * Onshore/offshore delivery leadership
 * Knowledge graphs as grounding layers

## Description

Our client is looking for a Senior Principal Architect Agentic AI & Digital Platforms to serve as the onshore technical anchor for an Agentic AI initiative across customer-facing digital platforms. The ideal candidate will translate business intent into scalable, governed, production-ready systems and hold the architectural line across delivery teams. The right person codes, reviews, and debates trade-offs in the same week they brief a VP., * Agentic Architecture - Design & govern end-to-end agentic architecture for apps, loyalty, payments, and commerce workflows.

 * Multi-Agent Orchestration - Orchestrator/subagent hierarchies, tool calling, stateful graph workflows, agent memory layers.
 * MCP Standards - Establish Model Context Protocol standards for governed tool and enterprise service exposure.
 * Runtime Guardrails - Spend controls, fraud hooks, human-in-the-loop checkpoints, and full auditability trails.
 * Retail Systems Integration - Lead AI agent integration with catalog, inventory, pricing, promotions, loyalty, and checkout.
 * LLMOps Standards - Prompt versioning, RAG governance, evaluation harnesses, observability (latency, cost, drift, safety).