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Enterprise AI/ML Architect

Global Bridge InfoTech Inc.United States🇺🇸United StatesPosted 12 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role: Senior AI/ML Architect / Enterprise Architect
Location: Richardson, TX - Remote
Mode: FTE with client

Job Details

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.

Key Responsibilities

  • 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.

 

Skills

AWS
Machine Learning
NLP
Azure
Computer Vision
Deep Learning
Generative AI
Google Cloud

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