Senior Forward-Deployed AI Architect | Remote‑Flexible

Crowe

Tampa (FL)

Hybrid

USD 102,000 - 204,000

Full time

4 days ago
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Benefits offered by this job

Unlimited PTO
Flexible remote work policy

Job summary

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

You will collaborate with cross-functional teams to translate business challenges into scalable AI apps and enterprise integrations, guiding technical decisions and standards.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Minimum of 6 years of experience in production software engineering, cloud engineering, AI/ML engineering, or a related technical discipline.
  • Strong hands-on software engineering experience and production-grade solution deployment.
  • Experience architecting cloud-native applications and distributed systems (Azure/AWS/GCP).
  • Working knowledge of generative AI, LLM patterns, RAG, and agentic workflows.

Responsibilities

  • Architect and develop end-to-end AI solutions, including generative AI applications and agentic systems.
  • Lead solution architecture for AI build and proof-of-concept engagements.
  • Remain hands-on across solution development, coding, prototyping, and debugging.
  • Design cloud-native AI solutions across Azure, AWS, and GCP, with secure, scalable architectures.
  • Mentor engineers and ensure engineering quality and production readiness.

Skills

Cloud engineering
AI/ML engineering
Software engineering
Architecture
Client-facing

Education

Bachelor's degree in Computer Science or related field

Tools

Azure
AWS
GCP
Kubernetes
Terraform

Job description

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

You will collaborate with cross-functional teams to translate business challenges into scalable AI apps and enterprise integrations, guiding technical decisions and standards.

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