Lead Forward‑Deployed AI Architect

Crowe; Costa Mesa (CA); On-site; USD 102,000 - 204,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible remote work policy

Job summary

Crowe Studio is seeking a Forward Deployed AI Architect (Manager) to design, develop, and deliver production-ready AI solutions for clients. You will own architecture, feasibility, and production readiness while staying hands-on with coding and prototyping.

You will collaborate with cross-functional teams to deploy AI apps, integrate with enterprise data platforms, and ensure scalable, secure deployments. Travel up to 80% may be required.

Qualifications

• Bachelor's degree in a technical field.
• Minimum of 6 years of production software/AI engineering.
• Experience architecting cloud-native apps with Azure/AWS/GCP.
• Strong communication and client-facing skills.

Responsibilities

• Architect and develop end-to-end AI solutions including generative AI, agentic systems, and RAG.
• Lead solution architecture for AI build and PoV engagements.
• Remain hands-on across development, data integration, prototyping, and deployment.
• Design cloud-native AI solutions using Azure, AWS, and GCP.
• Define patterns for LLMs, vector databases, APIs, and microservices.
• Mentor engineers and ensure production readiness.

Skills

Hands-on software engineering

Client-facing communication

Cloud architectures

Generative AI / LLM patterns

Problem solving and troubleshooting

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

Azure

AWS

GCP

Kubernetes

Terraform

Observability tooling

Vector DBs (Pinecone/Weaviate/FAISS)

Job description

Crowe Studio is seeking a Forward Deployed AI Architect (Manager) to design, develop, and deliver production-ready AI solutions for clients. You will own architecture, feasibility, and production readiness while staying hands-on with coding and prototyping.

You will collaborate with cross-functional teams to deploy AI apps, integrate with enterprise data platforms, and ensure scalable, secure deployments. Travel up to 80% may be required.