Senior Enterprise AI Architect: Agentic AI & Multi-Cloud

Ikuto; San Francisco (CA); Hybrid; USD 200,000 - 275,000; Full time

Benefits offered by this job

Equity

Hybrid work model

Comprehensive benefits

Job summary

Ikuto in San Francisco and New York is seeking a Principal / Enterprise AI Architect to drive long-term, AI-native transformations for Fortune 500 clients. You will architect agentic AI systems and cloud architectures while guiding engineering teams.

The role requires a deep SWE background, hands-on Python, multi-cloud experience, and the ability to articulate complex trade-offs to C-suite leaders. Travel ~25% to client sites; equity is included.

Qualifications

• 8+ years of total technical experience, with at least 5+ years of hands-on SWE experience before moving into solution/enterprise architecture.
• Deep hands-on familiarity with Python, APIs, Microservices, LLMs, Agentic AI, RAG, Data Pipelines, and Multi-Cloud Architecture (AWS, GCP, Azure).
• Enterprise transformation experience designing architectures for complex environments or high-stakes verticals.
• Ability to articulate complex technical trade-offs to non-technical C-suite stakeholders while maintaining technical rigor.

Responsibilities

• C-Suite Technical Vision: Advise on long-term AI architecture roadmaps for strategic accounts.
• System Design & Architecture: Architect production-grade AI platforms, agentic workflows, RAG pipelines, and cloud integrations.
• Lifecycle Ownership: Own the complete technical arc from mapping to deployment oversight for key clients.
• Cross-Functional Leadership: Collaborate with Forward-Deployed Engineers, PMs, and GTM to translate enterprise infra into AI solutions.

Skills

SWE Experience

Agentic AI

Multi-Cloud

Python

RAG Pipelines

APIs

Tools

AWS

GCP

Azure

Job description

Ikuto in San Francisco and New York is seeking a Principal / Enterprise AI Architect to drive long-term, AI-native transformations for Fortune 500 clients. You will architect agentic AI systems and cloud architectures while guiding engineering teams.

The role requires a deep SWE background, hands-on Python, multi-cloud experience, and the ability to articulate complex trade-offs to C-suite leaders. Travel ~25% to client sites; equity is included.