AI Solution Designer at Aaditus Technologies LLC
Woonsocket, RI 02895, USA -
Full Time


Start Date

Immediate

Expiry Date

21 Nov, 25

Salary

65.0

Posted On

21 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Solution Delivery, Computer Science, Kubernetes, Automation, Devops

Industry

Information Technology/IT

Description

JOB TITLE : AI SOLUTION DESIGNER AND IMPLEMENTOR

Location: Woonsocket, RI (Onsite 5 days a week)
Years of experience: 9+yrs
Department: Retail Analytics Engineering
Job Type: Contract Role

REQUIRED SKILLS & TECHNOLOGIES

  • AI/ML Tools: LangChain, LangGraph, PyTorch, MLFlow,
  • Cloud Platforms: GCP Vertex AI, Kubernetes
  • DevOps & Automation: GitHub Actions

QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 10+ years of experience in IT systems and AI/ML solution delivery.
  • Proven track record in designing and deploying enterprise AI solutions.
  • Strong understanding of cloud-native architectures and scalable AI infrastructure.
Responsibilities

ROLE OVERVIEW

We are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms. This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready systems.

KEY RESPONSIBILITIES

  • Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning)
  • Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency
  • Build and optimize NLP/document processing pipelines using GCP/Azure tech stack
  • Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.
  • Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.
  • Develop and deploy models using PyTorch, MLFlow, and FastAPI.
  • Ability to Implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions)
  • Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.
Loading...