Senior Principal Architect Agentic AI & Digital Platforms

HDJ & Associates

  • Dallas, Texas
  • 5 days ago

    Highlights

    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. Key Responsibilities: Agentic Architecture - Design & govern end-to-end agentic architecture for apps, loyalty, payments, and commerce workflows.

    Numbers & Facts

    LocationDallas, Texas

    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.


    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):
    • 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

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