Job Requirements
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.
Overview
We are seeking an experienced AI/GenAI Technical Architect with upto 12 years of technology experience with at least 5 years in solution/enterprise architecture and 2 years architecting AI/GenAI solutions, to lead the design, architecture and delivery of enterprise scale AI platforms and applications. The ideal candidate will have experience architecting production grade AI solutions using LLMs, RAG, Agentic AI & automation, cloud architecture, enterprise integrations, security, governance, and enterprise-scale solution design. Strong stakeholder management and architecture governance experience is required.
Key Responsibilities
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Architect and deliver enterprise-scale AI/GenAI solutions using LLMs, RAG, and Agentic AI.
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Define AI architecture standards, governance frameworks, and best practices.
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Design scalable and secure AI platforms on AWS, Azure, or hybrid environments.
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Lead AI platform modernization and enterprise AI adoption initiatives.
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Establish AI observability, monitoring, evaluation, and operational practices.
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Collaborate with business and technology stakeholders to translate business needs into AI solutions.
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Mentor engineering teams on AI architecture, frameworks, and implementation best practices.
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Evaluate emerging AI technologies and recommend strategic investments and roadmaps.
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Act as a trusted advisor to leadership on AI strategy, governance, and enterprise transformation.
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
Mandatory Skills
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AI / GenAI Architecture: LLMs, RAG, Agentic AI, AI Automation, Prompt Engineering, Enterprise AI Solutions
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AI Platforms & Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen or equivalent
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AI Engineering: Production-grade AI services, AI Observability, Evaluation, Monitoring, Guardrails, Model Context Protocol (MCP), A2A Protocol
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Programming: Python/Java/C#/Node.js
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Cloud & Containerization: AWS, Azure, Docker, Kubernetes, ECS, EKS, AKS
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Architecture & Design: Microservices, API-first, Event-driven Architecture, Distributed Systems, REST, gRPC
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Integration & Messaging: Kafka, RabbitMQ, Redis, Service Bus, Pub/Sub Patterns
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Data & AI Operations: MLOps, AIOps, ETL Pipelines, ML Lifecycle Management, Vector Databases and Semantic Search
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Security & Governance: AI Governance, Responsible AI, IAM, API Security, Cloud Governance
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Leadership: Stakeholder Management, Architecture Governance, Technical Leadership
Nice to Have
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Multi-Agent Orchestration Platforms
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ML/Data Science experience
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ITSM / AIOps Platforms
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AI Platform Modernization Programs
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AWS/Azure AI Certifications
Qualifications:
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Bachelor’s degree in computer science, Engineering, or related field.
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Up to 12 years of technology experience.
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5+ years in Solution/Enterprise Architecture.
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2 years architecting and delivering AI/GenAI solutions in production.
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Experience building enterprise-scale AI platforms and services.
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Strong communication, stakeholder management, and leadership skills.
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Cloud and AI certifications preferred.
