AI/ML Architect / Enterprise Architect

LTD Global
Richardson, United States of America
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Richardson, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Computer Vision
Azure
Data Transformation
Machine Learning
Azure
Google Cloud Platform
Enterprise Software Applications
Feature Engineering
Large Language Models
Deep Learning
Generative AI
AI Platforms
Machine Learning Operations
Virtual Agents
Natural Language Understanding
Data Pipelines

Job description

We are seeking a Senior AI/ML Architect / Enterprise Architect who can combine deep hands-on expertise with solution design. This role is responsible for rapidly evaluating AI/ML tools and platforms, developing Proofs-of-Concept (PoCs), and integrating AI/ML solutions into enterprise applications. You will work closely with product, engineering, and business teams to enable AI-driven transformation., * Design and develop AI/ML solutions, with hands-on implementation across machine learning, deep learning, and generative AI.

  • Evaluate tools, platforms, and frameworks (LLMs, agentic AI platforms, ML Ops solutions, cloud-native AI services) and provide recommendations based on business needs.
  • Develop and deliver PoCs and prototypes to validate feasibility, performance, and business value.
  • Work across AWS, Azure, and Google Cloud Platform to leverage data, analytics, and AI services.
  • Conduct model experimentation, fine-tune LLMs, and evaluate AI models using standard metrics.
  • Perform data exploration, preprocessing, and feature engineering to support AI/ML projects.
  • Integrate AI/ML models into enterprise applications, APIs, and workflows.
  • Collaborate with cross-functional teams (Product, Engineering, Data, Business) to translate business problems into technical solutions.
  • Mentor junior developers and guide them in AI/ML development best practices.

Requirements

  • 8-12 years of professional experience in AI/ML development and solutioning.
  • Proven experience building and deploying PoCs, prototypes, and production-ready AI solutions.
  • Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, NLP/NLU, computer vision, and ML Ops.
  • Hands-on expertise with AWS, Azure, or Google Cloud Platform AI/ML services.
  • Strong knowledge of data pipelines, preprocessing, feature engineering, and statistical concepts.
  • Excellent problem-solving, communication, and presentation skills.
  • Ability to work in fast-paced environments, switching between multiple tools and platforms as needed.

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