Forward Deployed AI Architect (Manager) — Hands-on Tech Leader

Crowe; Columbus (OH); Hybrid; USD 102,000 - 204,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible remote work policy

Competitive compensation

Job summary

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

You will guide cross-functional teams, mentor engineers, and ensure security and reliability in cloud-native AI deployments.

Qualifications

• Bachelor's degree in a technical field.
• 6+ years of production software/AI engineering experience.
• Hands-on experience with cloud-native architectures.
• Experience with LLMs, prompt engineering, and RAG.
• Strong communication and client-facing skills.
• Willingness to travel up to 80%.

Responsibilities

• Architect and develop end-to-end AI solutions.
• Lead architecture for AI builds and POC engagements.
• Remain hands-on across development, data integration, and prototyping.
• Design cloud-native AI solutions across Azure, AWS, GCP.
• Define patterns for LLMs, vector databases, APIs, microservices.
• Mentor engineers and review architectures.
• Collaborate across AI, data, MLOps, DevOps teams.
• Evaluate tradeoffs between custom development and managed services.
• Travel up to 80%.

Skills

Software engineering

Cloud engineering

AI/ML engineering

Architectural design

LLMs / AI patterns

Client-facing skills

Mentoring engineers

Hands-on programming

Security and reliability

Travel willingness

Education

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

Tools

Azure

AWS

GCP

Kubernetes

Terraform

Power Platform

SageMaker

Vertex AI

Pinecone

Weaviate

FAISS

Job description

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

You will guide cross-functional teams, mentor engineers, and ensure security and reliability in cloud-native AI deployments.