AI Solutions Architect: Drive Scalable Solutions & Demos

Bell Integration; Town of Florida (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Bell Integration is seeking an AI Solutions Architect to bridge technical capabilities with business needs. This generalist role analyzes customer requirements and designs AI solutions that deliver measurable business value across on-prem or cloud deployments.

The candidate will collaborate with Pre-Sales, contribute to RFPs, RFIs, SOWs, and run customer workshops, build rapid prototypes, and present demos of AI platforms. Strong knowledge of GPUs, containers, Kubernetes, and MLOps is expected.

Qualifications

• 5+ years of experience as a Solutions Architect.
• Hands-on experience with AI agents, RAG pipelines, and LLM inferencing.
• Experience on AI projects involving AI infrastructure, AI platforms, agentic AI, RAG, and MLOps.
• Experience writing high-level and low-level technical documentation for proposed solutions.
• Experience designing and running demos of AI solutions to internal and external audiences.
• Experience building and integrating simple prototypes using existing AI platforms and tools.
• Understanding of machine learning, deep learning, neural networks, and foundation models.
• Understanding of AI training and fine-tuning workflows, inference pipelines, and feature engineering.

Responsibilities

• Evaluate customer requirements and make architectural recommendations for AI implementations in on-prem or cloud environments.
• Provide best-practice guidance on architectural design across AI applications and projects.
• Propose technology solutions that extend beyond the core application when appropriate.
• Drive delivery by evaluating trade-offs, clarifying ambiguities, and ensuring scalable, reliable, secure, and highly available solutions.
• Support Pre-Sales in scoping, qualifying, and developing proposals and opportunities.
• Design and run demos of AI solutions for internal and external audiences.

Skills

AI agents

RAG pipelines

LLM inferencing

AI infrastructure

AI platforms

MLOps

Technical documentation

Demos & prototypes

ML foundations

Inference pipelines

Tools

Docker

Kubernetes

Prometheus

Grafana

Terraform

Git

CI/CD

Job description

Bell Integration is seeking an AI Solutions Architect to bridge technical capabilities with business needs. This generalist role analyzes customer requirements and designs AI solutions that deliver measurable business value across on-prem or cloud deployments.

The candidate will collaborate with Pre-Sales, contribute to RFPs, RFIs, SOWs, and run customer workshops, build rapid prototypes, and present demos of AI platforms. Strong knowledge of GPUs, containers, Kubernetes, and MLOps is expected.