Principal AI Technology Architect (AI Platforms)

Quick Facts

• Role: Principal AI Technology Architect (AI Platforms)
• Work: AI platform and agentic intelligent system architecture with hands-on prototyping and engineering

Description

Principal AI Tech Architects design, guide, and evolve next-generation intelligent agentic systems by bridging high-level system design with hands-on AI engineering. You will work across AI, data, product, and engineering teams to define scalable architectures for AI-driven applications, enabling seamless integration of LLMs, data pipelines, and enterprise systems. The role also includes production readiness via governance, observability, and evaluation.

Responsibilities

• Define system architectures for AI and LLM-based solutions to ensure scalability, low-latency inference, and modularity.
• Design agentic AI solutions for workflow automation using memory, agentic reflection, and task planning.
• Design AI integration patterns such as RAG for model orchestration, context management, prompt orchestration, and external system connectivity.
• Establish architectural blueprints, design principles, and governance frameworks for model versioning, data lineage, and responsible AI.
• Architect polyglot model runtimes and hybrid pipelines (batch training + streaming inference), managing cost, latency, and risk.
• Develop minimal viable prototypes/POCs to validate model architectures, RAG flows, and agent orchestration.
• Evaluate emerging AI frameworks and tools (e.g., LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI).
• Develop solutions using agent orchestration engines (e.g., n8n, Retool, OpenAI Agentkit, Microsoft Copilot Studio, AWS Flows).
• Support restructuring IT processes to adopt new systems and oversee performance, observability, and governance moving to production.
• Optimize model and AI service development processes via LLMOps standards for versioning, testing, and monitoring.
• Lead technical workshops and presentations, translating complex ideas for technical and non-technical audiences.
• Mentor and manage junior team members, including QA oversight and structured growth objectives.
• Stay ahead on distributed AI, RAG, retrieval/indexing, and agent frameworks; support business development with technical proposals.

Benefits

• Best-in-class benefits supporting personal and professional growth.
• Opportunity to work across disciplines with strategic thinking plus hands-on implementation.
• U.S. base compensation: $230,000 annually, plus a discretionary performance bonus and retirement contribution.
• Employer-paid medical, dental, and vision premiums for employees, spouses, and children (zero premium cost for covered individuals).
• Paid time off, paid parental leave, and family benefits (including egg freezing, surrogacy, and adoption reimbursement).
• Gym membership/fitness reimbursement and fully vested retirement contributions annually.