AI Architect

Veridic Solutions; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Veridic Solutions is seeking a Senior Principal Architect to lead onshore for Agentic AI and Digital Platforms. You will translate business needs into scalable, production-ready AI solutions while guiding multiple delivery teams.

This role blends hands-on coding, architecture, and executive communication. You will design end-to-end Architectures, govern multi-agent systems, and establish MCP and LLMops standards across retail-focused platforms, loyalty, catalog, pricing, and checkout.

Qualifications

• Proven production experience with LLM-based agent systems.
• Hands-on experience with agent frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
• Strong understanding of ReAct, plan-and-execute patterns, multi-agent handoffs, RAG, context engineering, and MCP.
• Experience with RAG pipelines: chunking, retrieval, grounding.

Responsibilities

• Design and govern end-to-end Agentic AI architectures across digital experiences.
• Architect multi-agent orchestration with toolcalling, stateful workflows, and memory.
• Define MCP standards for secure access to enterprise tools and services.
• Define runtime guardrails for cost control, safety, auditability.
• Lead integration of AI agents with catalog, pricing, loyalty, and checkout systems.
• Establish LLMOps standards for versioning, evaluations, monitoring, and observability.
• Monitor latency, token use, model performance, drift and safety.
• Bridge business executives with engineering leaders and partners.

Skills

Agentic AI

APIs

Distributed systems

Event-driven

LLMOps

Code reviews

Executive communication

Architectural judgment

Onshore/offshore delivery

Retail/commerce experience

Memory architectures

Tools

LangGraph

LangChain

Semantic Kernel

CrewAI

AutoGen

Job description

Role: Senior Principal Architect – Agentic AI & Digital Platforms

Job Type: Full-Time

About the Role

We are looking for a Senior Principal Architect – Agentic AI & Digital Platforms to serve as the onshore technical leader for a high-impact Agentic AI initiative focused on customer-facing digital platforms.

This is a hands-on techno-functional architecture role—not a research position and not purely strategic. You’ll translate business objectives into scalable, governed, production-ready AI solutions while providing architectural leadership across multiple delivery teams.

The ideal candidate can design architectures, write code, review implementations, make critical technology trade-offs, and communicate effectively with executive leadership.

What You’ll Do

• Design and govern end-to-end Agentic AI architectures across digital experiences, including apps, loyalty, payments, and commerce.
• Architect multi-agent orchestration using orchestrator/subagent models, tool/function calling, stateful workflows, and agent memory.
• Establish MCP (Model Context Protocol) standards for secure and governed access to enterprise tools and services.
• Define runtime guardrails covering cost controls, fraud detection, human-in-the-loop workflows, safety, and auditability.
• Lead integration of AI agents with retail systems such as catalog, inventory, pricing, promotions, loyalty, and checkout.
• Establish LLMOps standards for prompt versioning, RAG governance, evaluations, monitoring, and observability.
• Monitor and optimize latency, token consumption, model performance, drift, and safety.
• Act as the primary technical bridge between business executives, engineering teams, architecture teams, and technology partners.
• 12–18 years of experience in enterprise/platform architecture.
• 3–4+ years of hands‑on experience delivering AI/ML or Generative AI solutions in production.
• Strong expertise in API-first architecture, distributed systems, event-driven architecture, real-time data, and scalable applications.

Agentic AI – Must Have

• Proven production experience building and deploying LLM‑based agent systems—not just prototypes or POCs.
• Hands‑on experience with one or more agent frameworks such as:
• LangGraph
• LangChain
• Semantic Kernel
• CrewAI
• AutoGen
• Strong understanding of ReAct, plan-and-execute patterns, multi-agent handoffs, RAG, context engineering, prompt engineering, and MCP.
• Experience designing RAG pipelines involving chunking, hybrid retrieval, reranking, and grounding.
• Understanding of common agent failure modes, including hallucinations, tool misuse, runaway costs, and infinite loops, with the ability to architect effective controls.
• Experience with LLMOps, including evaluation frameworks, observability tools such as LangSmith/Langfuse or equivalent, and prompt/model lifecycle management.
• Strong exposure to retail or consumer commerce platforms.
• Experience with catalog, pricing, promotions, loyalty, checkout, payments, or related commerce systems is highly preferred.
• Adjacent e-commerce or consumer technology experience will also be considered.
• Strong understanding of event-driven architectures, including Kafka or equivalent technologies.
• Comfortable working with enterprise‑scale data quality and integration challenges.
• Experience with semantic models or knowledge graphs for AI/agent grounding is a plus.
• Ability to translate complex Agentic AI concepts into clear business value for senior executives.
• Strong architectural judgment with the ability to establish boundaries, make trade‑offs, and defend technical decisions.
• Experience leading teams across onshore/offshore delivery models.
• Hands‑on technical mindset with the ability to develop reference implementations and conduct code reviews.
• Comfortable working in a rapidly evolving AI landscape where technologies and standards continue to change.