AI Solution Designer and Implementor - Woonsocket, RI

  • Woonsocket, RI
  • Posted 14 hours ago | Updated 14 hours ago

Overview

On Site
Depends on Experience
Contract - W2

Skills

Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Continuous Delivery
Continuous Integration
DevOps
Document Processing
FOCUS
Generative Artificial Intelligence (AI)
GitHub
Good Clinical Practice
Google Cloud Platform
Kubernetes
LangChain
Lifecycle Management
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Natural Language Processing
PyTorch
Python
Retail
Software Development
Stacks Blockchain
Systems Architecture
Vertex
Analytics

Job Details

Job Title: AI Solution Designer and Implementor Location: Woonsocket, RI (Onsite 5 Days/Week) Job Type: Contract Experience Required: 9+ Years Department: Retail Analytics Engineering

Role Overview

We are seeking a highly experienced AI Solution Designer and Implementor to architect, develop, and deploy cutting-edge AI/ML solutions within our Retail Analytics Engineering Platforms. This role requires deep expertise in Generative AI, LLMs, Agentic AI, and MLOps, with a focus on building scalable, production-ready systems.

Key Responsibilities

Design and implement enterprise-scale AI/ML solutions including Generative AI, Agentic AI systems, and fine-tuned LLMs.

Build intelligent agents using frameworks like LangChain and LangGraph to drive automation and efficiency.

Develop advanced NLP/document processing pipelines using Google Cloud Platform or Azure tech stacks.

Lead Retrieval-Augmented Generation (RAG) and multi-agent architecture initiatives.

Establish robust LLMOps/MLOps processes for end-to-end model lifecycle management.

Deploy models using PyTorch, MLFlow, and FastAPI.

Implement scalable infrastructure with Kubernetes and CI/CD automation using GitHub Actions.

Collaborate with cross-functional teams on cloud adoption and infrastructure modernization efforts.

Required Skills & Technologies

AI/ML Tools: LangChain, LangGraph, PyTorch, MLFlow

Cloud: Google Cloud Platform Vertex AI, Kubernetes (Azure experience is a plus)

DevOps: GitHub Actions, CI/CD

Programming & Frameworks: Python, FastAPI

Qualifications

Bachelor s degree in Computer Science, Engineering, or a related field.

10+ years of experience in IT and AI/ML solution development.

Proven experience with enterprise AI system architecture and deployment.

Strong understanding of scalable, cloud-native AI infrastructure.

Preferred Certifications

Google Cloud Platform and/or Azure certifications

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