Forward-Deployed AI Architect — Hands-On & Client-Facing

Crowe; Sacramento (CA); Hybrid; USD 102,000 - 204,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible remote work policy

Job summary

Crowe Studio seeks a Forward Deployed AI Architect (Manager) to design, develop, and deliver production-ready AI solutions for clients. You’ll own solution architecture, feasibility, and production readiness, while remaining actively involved in coding and prototyping.

You’ll work with client teams to translate business challenges into scalable AI applications, spanning agentic AI, LLMs, and enterprise integrations, across Azure, AWS, and GCP.

Qualifications

• Bachelor’s degree or higher in a technical field.
• 6+ years of production software engineering, cloud or AI/ML engineering.
• Experience architecting cloud-native applications and distributed systems.

Responsibilities

• Architect and deliver end-to-end AI solutions including generative AI and RAG.
• Lead solution architecture for client engagements, ensuring feasibility and scalability.
• Remain hands-on across development, integration, and production deployment.
• Define cloud-native AI architectures across Azure, AWS, and GCP.
• Collaborate with cross-functional teams to ensure security and reliability.
• Mentor engineers and establish engineering standards across engagements.

Skills

Hands-on software engineering

Excellent client-facing skills

Strong communication

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure

AWS

GCP

Kubernetes

Terraform

Observability

Job description

Crowe Studio seeks a Forward Deployed AI Architect (Manager) to design, develop, and deliver production-ready AI solutions for clients. You’ll own solution architecture, feasibility, and production readiness, while remaining actively involved in coding and prototyping.

You’ll work with client teams to translate business challenges into scalable AI applications, spanning agentic AI, LLMs, and enterprise integrations, across Azure, AWS, and GCP.