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Quest Global

Engineering services, digital transformation, asset management

AI Architect

Pre-Sales Solution EngineeringUpdated on Nov 9
Full-timeHouston, TX, USANo salary listedIn-person

About the Job

Requirements

  • At least 15 years of overall experience, including at least 7 years in AI/ML, Generative AI, Intelligent Automation, or AI Solution Architecture.
  • Strong experience in software architecture and enterprise solution design.
  • Hands-on experience with Generative AI, large language models, AI agents, agentic AI frameworks, and retrieval-augmented generation architecture.
  • Good understanding of machine learning, deep learning, natural language processing, and AI application development.
  • Experience with more than one enterprise AI technology stack, such as Azure OpenAI, OpenAI, Anthropic, Gemini, or AWS Bedrock.
  • Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proven experience engaging with customers, presenting technical solutions, and providing technology leadership.
  • Knowledge of responsible AI, AI governance, and AI security practices.
  • Proven track record in mentoring and coaching, with a knowledge-sharing mindset.
  • Communication and presentation skills for technical and business stakeholders.
  • Ability to influence teams, drive change, and build confidence with customers.

Responsibilities

  • Drive adoption of AI tools and practices across engineering teams, enabling engineers to use GitHub Copilot, Microsoft Copilot, ChatGPT, Claude, Gemini, and emerging AI platforms to improve productivity.
  • Act as the AI subject matter expert in customer meetings, workshops, and pre-sales discussions.
  • Design and review enterprise-scale AI and agentic AI solution architectures, including AI agents, multi-agent systems, retrieval-augmented generation, copilots, workflow automation, and intelligent decision-making systems.
  • Establish AI engineering standards, reusable frameworks, and solutions.

Desired Qualifications

  • Experience establishing AI Centers of Excellence or leading technology transformation initiatives.
  • Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI frameworks.
  • Knowledge of MLOps, LLMOps, APIs, microservices, and modern software engineering practices.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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