About the Role We are looking for an AI Solutions Architect who can design, orchestrate, and ship high-impact AI systems for global clients. This role blends systems thinking, engineering depth, and product clarity — turning complex requirements into scalable, reliable, and elegant AI workflows. You’ll work closely with founders, engineering teams, and product owners to architect solutions powered by LLMs, RAG search, agents, embeddings, vector stores, and real-time inference pipelines. Your work directly shapes how customers adopt and operationalize modern AI. --- Responsibilities System Architecture • Architect end-to-end LLM/RAG pipelines, embedding workflows, agent systems, and automation stacks • Design retrieval layers, indexing strategies, memory models, and model-selection logic • Map requirements into clear technical designs, data flows, and integration plans Engineering & Deployment • Oversee implementation from prototype → production • Ensure performance, reliability, and correctness across all AI components • Optimize inference, model latency, cost, token usage, and pipeline efficiency • Integrate with APIs, vector databases, external systems, and internal tools Product & Collaboration • Work directly with founders, CTOs, and product teams • Translate business needs into engineering reality • Produce system diagrams, architecture docs, and rollout plans • Help teams adopt best practices for LLM safety, testing, monitoring, and evaluation --- Ideal Candidate You're a fit if you: • Have deep experience with LLMs, embeddings, RAG, vector DBs, or agent-based systems • Have built and shipped production-ready AI workflows or ML systems • Understand prompt engineering, evaluation, and model integration • Can communicate complex architectural decisions with clarity • Are comfortable leading client-facing technical conversations Nice to have • Experience with Whisper, TTS pipelines, or real-time inference • Familiarity with LangChain, LlamaIndex, Marvin, or custom agent runtimes • ONNX optimization or GPU/accelerator experience • Strong background in Python, TypeScript, or distributed systems --- What Success Looks Like Within your first 90 days, you will have: • Architected and deployed one or more AI-powered workflows • Delivered clean, well-structured technical documentation • Improved inference reliability and pipeline performance • Earned trust with engineering and client teams through clarity and execution • Helped define best practices for AI safety, evaluation, and lifecycle management --- Perks & Benefits • Competitive compensation • Work with cutting-edge AI systems and high-velocity engineering teams • Executive mentorship & engineering leadership support • Fully remote with flexible hours • Direct impact on high-profile AI deployments across industries --- How to Apply 📧 Email your resume + short intro to: jesse@nextbeginz.com 📝 Subject line: AI Solutions Architect — [Your Name] What to Include • Short intro + why you're a strong fit • Links to relevant projects, GitHub, or architectural write-ups • Examples of AI systems you’ve built or designed • Your availability & earliest start date