Job Description

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:

• Bachelor's degree required
• Executive or startup experience with hands-on leadership in AI/technology platforms.
• Deep experience with generative AI, LLMs, and RAG pipelines, preferably using AWS AI/ML services.
• Proven ability to architect and scale AI platforms, including ingestion pipelines for PDFs, emails, audio, and video (AWS tools like Rekognition, Comprehend, Transcribe, or other open-source tools)
• Strong backend/cloud development skills (Python, Java, or equivalent) with experience in AWS infrastructure and servic es, including AWS Bedrock, OpenSearch, S3, Lambda, EC2, etc.
• Experience productizing AI models into user-facing applications, including web or mobile frontends, with a focus on usability, performance, and reliability.
• Experience designing production-ready AI systems from proof-of-concept implementations.
• Product mindset with the ability to translate AI technology into compelling user-facing applications.
• Experience leading and mentoring cross-functional teams.
• Exceptional communication skills, able to convey technical strategy to executives and stakeholders.

Preferred Qualifications:

• Experience building AI-driven storytelling, chatbot, or interactive applications.
• Founder, CTO, or VP-level experience in AI-driven product startups.
• Familiarity with academic-industry collaborations or applied AI research projects.
• Experience with GenAI platforms such as Claude, Sonnet, or other LLM alternatives.

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

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