Full time

HDJ & Associates; Dallas (TX); On-site; USD 180,000 - 270,000; Full time

Job summary

HDJ & Associates in Dallas seeks a Senior Principal Architect to anchor onshore Agentic AI & Digital Platforms across customer-facing systems. Translate business intent into scalable, governed, production-ready architectures while maintaining technical leadership across delivery teams.

You will design end-to-end agentic workflows, establish MCP and LLMOps standards, ensure safety and cost controls, and partner with VPs to align technology with strategic goals.

Qualifications

• 3–4+ years of AI/ML or GenAI in production.
• Shipped LLM-based agent systems (not POC).
• Hands-on with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
• Experience with ReAct, multi-agent handoffs, and RAG.
• Architected to prevent hallucinations and tool misuse; cost control.
• Python proficiency with reference implementations.
• Ability to translate tech to business value for VPs.

Responsibilities

• Agentic Architecture: design and govern end-to-end agentic architecture for apps and workflows.
• Multi-Agent Orchestration: manage agent hierarchies, tool calling and memory layers.
• LLMOps Standards: prompt versioning, governance, observability and safety.
• Runtime Guardrails: spend controls, fraud hooks, audit trails.
• Retail Systems Integration: integrate AI with catalog, pricing, loyalty, checkout.
• Lead cross-team alignment and communicate trade-offs to executives.

Skills

AI/ML production

GenAI in prod

Business value translation

Tools

LangGraph

LangChain

Semantic Kernel

CrewAI

AutoGen

ReAct

RAG

Python

Job description

Senior Principal Architect Agentic AI & Digital Platforms

Dallas, United States | Posted on 10/05/2026

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.

Key Responsibilities:

• 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).
  

Requirements

Must-have (non-negotiable):

• 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: