Principal Solutions Architect
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, 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.
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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.
- 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.
- 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.
- Deep technical proficiency in agentic AI design, model orchestration, and multi-agent communication protocols (e.g., MCP, Lang Chain, 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.
- 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.
- Stay at the forefront of AI research and trends, bringing innovative ideas to the organization.
- Foster a culture of continuous improvement and learning within the AI team.
- Evaluate and implement MLOps practices to streamline AI workflows and model management.
- Collaborate with global partners to advance MCP standards and ensure interoperability across multi-model ecosystems
Skills and attributes for success
- Exceptional problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to influence and inspire others.
- Strategic thinker with a proactive approach to driving change and innovation.
- Master's or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
- 10+ years of experience in AI/ML solution design and development, with a track record of delivering impactful AI solutions.
- Demonstrated experience in leading large-scale AI projects and managing cross-functional teams.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and AI services and hybrid AI deployments combining…
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