Senior AI Solutions Architect — GenAI, MLOps & Cloud

Franklin Fitch; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Franklin Fitch partners with a technology client to hire a Senior AI Solutions Architect for a highly technical, customer-facing role. You will own the architecture of AI solutions, from platforms and infrastructure to deployment and observability, working across AI, software engineering and cloud/DevOps.

You’ll translate customer requirements into practical architectures, develop prototypes and deliver technical demonstrations to enterprise clients.

Qualifications

• 5+ years of Solutions Architecture or equivalent senior technical architecture experience.
• Hands-on experience with LLMs, RAG pipelines and/or AI agents.
• Experience across AI disciplines such as AI platforms, AI infrastructure, Agentic AI, RAG or MLOps.
• Strong understanding of cloud, containers, Kubernetes and distributed systems.
• Experience building prototypes and demonstrating technical solutions.
• Strong communication skills and the ability to engage directly with customers.
• Experience translating business requirements into practical technical architectures.

Responsibilities

• Translate customer requirements into practical technical architectures for AI solutions.
• Develop prototypes and deliver technical demonstrations to customers.
• Design scalable, secure and reliable AI architectures spanning cloud and on-prem environments.
• Collaborate across AI, software engineering and cloud/DevOps to ensure cohesive solutions.

Skills

LLMs

RAG pipelines

AI agents

Cloud platforms

Kubernetes

Docker

Terraform

Ansible

Python

CI/CD

Distributed systems

APIs & microservices

Security & observability

Tools

Kubernetes

Docker

Terraform

Ansible

Python

CI/CD

Job description

Franklin Fitch partners with a technology client to hire a Senior AI Solutions Architect for a highly technical, customer-facing role. You will own the architecture of AI solutions, from platforms and infrastructure to deployment and observability, working across AI, software engineering and cloud/DevOps.

You’ll translate customer requirements into practical architectures, develop prototypes and deliver technical demonstrations to enterprise clients.