AI Architect

Role: Senior Principal Architect – Agentic AI & Digital Platforms Location: Dallas, TX – Onsite 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 . 🔹 Required Qualifications Enterprise Architecture 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. 🔹 Retail & Commerce Experience 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. 🔹 Data & Integration 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. 🔹 Leadership & Communication 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 . Strong Python proficiency expected. Comfortable working in a rapidly evolving AI landscape where technologies and standards continue to change. Show more Show less