Fully Remote - AI Platform Architect / Engineering Lead - W2 Only - Visa Sponsorship Available
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Job Title: AI Platform Architect / Engineering Lead
Location: Remote
Type: Contract / Full-Time
Experience: 10 15+ Years
Work Authorization: Any Visa W2 / Sponsorship available
Overview
We are seeking a hands-on AI Platform Architect / Engineering Lead with a strong software engineering background and experience building enterprise AI/GenAI platforms from the ground up. This role focuses on AI platform architecture, LLM integration, RAG, AI agents, cloud infrastructure, and technical leadership. This is an AI Engineering role, not a Data Scientist position.
Key Responsibilities
Location: Remote
Type: Contract / Full-Time
Experience: 10 15+ Years
Work Authorization: Any Visa W2 / Sponsorship available
Overview
We are seeking a hands-on AI Platform Architect / Engineering Lead with a strong software engineering background and experience building enterprise AI/GenAI platforms from the ground up. This role focuses on AI platform architecture, LLM integration, RAG, AI agents, cloud infrastructure, and technical leadership. This is an AI Engineering role, not a Data Scientist position.
Key Responsibilities
- Design and build scalable enterprise AI/GenAI platforms.
- Develop AI services, APIs, LLM integrations, RAG, and agent-based solutions.
- Establish AI platform standards for security, monitoring, testing, and governance.
- Implement cloud infrastructure, Kubernetes, CI/CD, and automation.
- Lead architecture decisions, code reviews, and hands-on development.
- Mentor engineers and collaborate with product, data science, and security teams.
- 10 15+ years of software engineering, platform engineering, or distributed systems experience.
- Strong Python skills plus Java, Go, or TypeScript.
- Hands-on experience building production AI/GenAI platforms.
- Expertise in LLM integrations, RAG, and AI agent-based systems.
- Experience with AI platform engineering, model gateways, evaluation, monitoring, and governance.
- Strong knowledge of AWS, Azure, or GCP, Kubernetes, CI/CD, and Infrastructure as Code.
- Experience designing secure, scalable enterprise platforms and APIs.
- Proven technical leadership and mentoring experience.
- Preferred: LiteLLM, Langfuse, Arize, OpenTelemetry, MCP, and experience in regulated industries.
