Hands-On AI Architect for Enterprise Transformation

Crowe

Burlington (VT)

Hybrid

USD 102,000 - 204,000

Full time

11 hours ago
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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 solution architecture, feasibility, and production readiness while coding and prototyping as needed.

You will collaborate with cross-functional teams to deploy agentic AI systems, generative AI applications, and enterprise integrations across cloud platforms, maintaining standards and guiding architectural decisions.

Qualifications

  • Bachelor's degree in a related technical field.
  • 6+ years of production software/AI/ML engineering experience.
  • Hands-on software engineering experience and production-grade delivery.
  • Experience architecting cloud-native applications on Azure/AWS/GCP.
  • Strong client-facing communication and collaboration skills.
  • Willingness to travel up to 80%.

Responsibilities

  • Architect and develop end-to-end AI solutions, including generative AI and agentic systems.
  • Lead solution architecture for AI build and POC engagements.
  • Remain hands-on across development, prototyping, and debugging.
  • Design cloud-native AI solutions on major cloud platforms.
  • Define patterns for LLMs, vector databases, APIs, and microservices.
  • Mentor engineers and ensure production readiness and quality.
  • Collaborate with AI, data, MLOps, DevOps, and security teams.
  • Identify and address technical risks and tradeoffs.
  • Evaluate emerging AI frameworks for innovation.

Skills

Cloud architecture
LLMs & agentic workflows
Hands-on engineering
Client-facing communication
Engineering leadership
Travel readiness

Education

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

Tools

Azure
AWS
GCP
Kubernetes
Terraform

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 solution architecture, feasibility, and production readiness while coding and prototyping as needed.

You will collaborate with cross-functional teams to deploy agentic AI systems, generative AI applications, and enterprise integrations across cloud platforms, maintaining standards and guiding architectural decisions.

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