AI Architect Engineer

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.

Role Overview

We are seeking an experienced AI Architect with 8+ years of experience in designing, developing, and deploying AI/ML solutions. The candidate will lead AI strategy, define scalable architectures, and drive digital transformation initiatives across the organization.

Key Responsibilities

Design and implement end-to-end AI/ML architectures, including Generative AI and Agentic AI solutions.

Lead AI platform development using cloud technologies (Azure, AWS, or GCP).

Develop scalable AI applications using Python, LLMs, RAG, Vector Databases, and ML Ops practices.

Collaborate with business stakeholders to identify AI use cases and translate them into technical solutions.

Ensure AI governance, security, compliance, and ethical AI practices are followed.

Mentor engineering teams and provide technical leadership on AI initiatives

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.

Bachelor's/Master's degree in Computer Science, IT, AI, or related disciplines.

8+ years of experience in software engineering with at least 3 years in AI/ML architecture.

Strong expertise in Python, Machine Learning, Deep Learning, NLP, and Generative AI.

Hands-on experience with Azure AI, AWS SageMaker, OpenAI APIs, Lang Chain, and Vector Databases.

Experience with Power Platform, Copilot Studio, and Agentic AI frameworks is preferred.

Knowledge of CI/CD, Docker, Kubernetes, and ML Ops tools.

Preferred Skills

Experience in developing enterprise AI solutions.

Strong communication and stakeholder management skills.

Exposure to Oil & Gas, EPC, or industrial digital transformation projects.

Competency

Innovation & Continuous Learning, Innovation & Continuous Learning

Innovation & Continuous Learning, Stakeholder Management

Collaboration & Teamwork, Critical Thinking

Leadership & Ownership, Customer Focus

Success Criteria

Successfully deliver scalable and secure AI solutions aligned with business objectives.

Drive AI adoption and innovation while improving operational efficiency and productivity.