# Principal Solutions Architect at G42

G42 is hiring a Principal Solutions Architect in Abu Dhabi, United Arab Emirates. Level rates it Builds AI ●●●●; you can [apply on G42](https://jobsbylevel.com/go/cb062be1-396b-4086-8173-339ec6f4981c?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. Abu Dhabi, Abu Dhabi, United Arab Emirates.

## Details

- Company: [G42](https://jobsbylevel.com/companies/g42)
- AI level: AI Level 4 (score 92 out of 100)
- Location: Abu Dhabi, Abu Dhabi, United Arab Emirates
- Posted: August 3, 2026
- Apply: https://jobsbylevel.com/go/cb062be1-396b-4086-8173-339ec6f4981c?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-solutions-architect-at-g42-c477da

## Prepare for this job

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## Description

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai Overview: Inception AI is spearheading a transformative initiative to deploy a large-scale AI program across Abu Dhabi’s critical sectors, including Government, Education, and State-Owned Enterprises (SOEs). We are seeking an accomplished Principal Solutions Architect to lead our enterprise-scale AI initiatives and drive the development of sophisticated AI solutions. The AI Delivery Principal Solutions Architect will play a critical role in shaping our AI strategy, leading high-impact projects, and providing technical leadership across the organization. This role will pioneer the use of Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration to build scalable, secure, and interoperable AI systems across hybrid and on-premise environments. The ideal candidate will have extensive experience in AI/ML, a strategic mindset, and exceptional leadership abilities. About Inception Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai Responsibilities: Strategic Leadership Define and drive the AI strategy aligned with business objectives. Identify and prioritize AI opportunities that deliver significant business value. Serve as a thought leader in AI, both within the organization and in the industry. Solution Architecture Architect and oversee the implementation of scalable, high-performance AI solutions. Architect and oversee multi-agent AI systems leveraging MCP for shared context management, interoperability, and secure inter-agent communication Ensure all AI solutions adhere to principles of scalability, modularity, observability, security, and governance across federated infrastructures Design A2A collaboration frameworks enabling autonomous, goal-oriented coordination between specialized agents across cloud, edge, and on-prem deployments Lead the design of hybrid AI architectures integrating Generative AI, structured reasoning agents, and traditional enterprise services Lead the evaluation and adoption of new AI technologies and frameworks. Project Leadership Oversee the full lifecycle of AI projects, from conceptualization to deployment and optimization. Lead cross-functional teams, ensuring collaboration and alignment across departments. Manage project timelines, resources, and budgets, ensuring successful delivery. Technical Expertise Deep technical proficiency in agentic AI design, model orchestration, and multi-agent communication protocols (e.g., MCP, LangChain, Semantic Kernel) Proven experience integrating LLMs and agent frameworks into enterprise ecosystems Hands-on experience with hybrid AI deployments, combining cloud-native scalability with on-premise GPU and edge compute environments Ensure best practices in AI model development, deployment, and maintenance. Collaboration and Influence Partner with the leadership team to communicate the value and impact of AI initiatives. Collaborate with product management, data science, and engineering teams to translate business needs into technical solutions. Continuous Innovation Stay at the forefront of AI research and trends, bringing innovative

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