At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Purpose:
As part of our Engineering Transformation journey, we are looking for a Digital & AI Architect to accelerate the adoption of Digital Engineering, Automation, and Artificial Intelligence across Asset Integrity and Performance Engineering services.
The role will serve as a bridge between engineering teams and digital technologies, helping transform engineering ideas into scalable solutions that improve quality, efficiency, knowledge reuse, and project delivery. The individual will leverage modern AI platforms such as Microsoft Copilot, Copilot Studio, Claude, Azure AI, and Machine Learning technologies to simplify routine engineering activities and unlock new ways of delivering engineering services.
Key Responsibilities
Partner with engineering teams to identify opportunities for digitalization and automation.
Convert engineering challenges and innovative ideas into practical digital solutions.
Design and implement AI-powered tools, copilots, and automation workflows that improve engineering productivity.
Drive adoption of Microsoft Copilot, Copilot Studio, Claude, Azure AI, and other enterprise AI platforms.
Automate repetitive activities such as report generation, data analysis, document reviews, calculations, and technical documentation.
Establish AI-driven knowledge management solutions to capture and reuse engineering expertise.
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Identify unconventional and innovative approaches to enhance engineering quality, efficiency, and delivery speed.
Collaborate with IT, Digital, and Engineering teams to deploy scalable and secure solutions.
Lead proof-of-concepts, pilots, and industrialization of AI and digital initiatives.
Stay current with emerging technologies and assess their applicability to engineering services.
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We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Must-Have Skill Set
Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or related field.
10+ years of experience in Digital Transformation, Engineering Services, or AI-led initiatives.
Strong understanding of Oil & Gas Engineering Services, Asset Integrity, Reliability, or Asset Performance Management.
- Hands-on experience with:
Microsoft Copilot Ecosystem
Copilot Studio
Azure AI / Azure OpenAI
Machine Learning and AI Solutions
Power Platform
Python and Data Analytics
Experience designing and implementing automation solutions for business or engineering processes.
Strong stakeholder management and consulting skills.
Ability to translate business and engineering needs into digital solutions.
Demonstrated innovation mindset with a focus on measurable business outcomes.
Good-to-Have Skill Set
Experience with Anthropic Claude Enterprise.
Experience with Agentic AI and Multi-Agent frameworks.
Knowledge of RAG (Retrieval-Augmented Generation) architectures and Vector Databases.
Exposure to Microsoft Fabric, Databricks, Snowflake, and Cloud Data Platforms.
Experience in Digital Twin, Industrial IoT, or Asset Performance Management solutions.
Knowledge of RBI (Risk-Based Inspection), Corrosion Management, Reliability Engineering, or Inspection Management.
Experience building Engineering Knowledge Assistants and AI Copilots.
Familiarity with AWS or Google Cloud AI services.
Experience managing enterprise-scale AI transformation programs.
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