Lead GenAI & AWS Platform Architect (CTO-Level) - LLMs, Bedrock, OpenSearch, Data Parsing (Rekognition, Comprehend, Transcribe, etc) (Irvine)

NO 3RD / C2C PARTY FIRM CANDIDATES. DO NOT EMAIL TO ASK. AND NO, I CANNOT HIRE YOUR CONSULTANTS ON MY W2.

HYBRID ONSITE IN IRVINE, CA. HEAVIER ONSITE IN THE BEGINNING, THEN FLEXIBLE ON THE # OF DAYS.

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Lead GenAI & AWS Platform Architect (CTO-Level) - LLMs, Bedrock, OpenSearch, Data Parsing (Rekognition, Comprehend, Transcribe, etc)

We are a fast-growing company that builds next-generation AI experiences, combining storytelling, knowledge management, and interactive digital applications. Our mission is to create AI-driven platforms that engage users in novel ways-whether through chatbots, content generation, or intelligent recommendation systems. We're seeking a strategic yet hands-on technology leader with experience in startups or executive roles to architect, scale, and productize these innovative AI solutions.

As a Lead AI & Data Platform Engineer (CTO-level), you will define and execute the technical vision for our AI platform. This is a hands-on, CTO-level role-you will design generative AI workflows, scale the platform from proof-of-concept to production, guide integrations, and lead a small, high-impact engineering team while making strategic technical decisions.

Key Responsibilities :

• GenAI Platform Architecture & Scaling : Design and implement scalable generative AI solutions using AWS AI / ML services, with optional support for Claude, Sonnet, or other LLM platforms.
• Data Ingestion & RAG Pipelines : Build pipelines to ingest and process PDFs, emails, audio, and video, evaluating AWS tools (Textract, Transcribe, Rekognition, Comprehend, etc.) against open-source alternatives and selecting the best approach.
• Interactive Applications & Storytelling : Translate AI models into engaging user-facing applications, including chatbots, interactive experiences, and content-generation workflows.
• Team Leadership : Lead, mentor, and orchestrate small engineering teams, fostering collaboration and technical excellence.
• Project Oversight : Manage timelines, milestones, and deliverables for internal teams and external collaborators.
• Hands-On Development : Contribute to system architecture, API design, and AI pipelines end-to-end.
• Strategic Vision : Align engineering efforts with product strategy, driving the roadmap and feature prioritization.
• Testing & QA Oversight : Ensure proper validation, functional testing, and monitoring of AI products in production.

Required Qualifications :

Preferred Qualifications :

Compensation depends on experience but is typically $80-125 / hr. We are willing to send qualified candidates over budget.