Principal Solutions Architect
Role Overview
Lead enterprise-scale AI initiatives across Abu Dhabi government, education, and state-owned enterprise sectors.
Shape AI strategy and deliver sophisticated, scalable solutions using MCP and A2A orchestration across hybrid and on-premise environments.
Key Skills for This Role
Full Job Posting
Role overview
Lead enterprise-scale AI initiatives across Abu Dhabi government, education, and state-owned enterprise sectors.
Shape AI strategy and deliver sophisticated, scalable solutions using MCP and A2A orchestration across hybrid and on-premise environments.
Strategic leadership and architecture
- Define AI strategy and prioritize opportunities that deliver business value.
- Architect scalable, high-performance AI and multi-agent systems with secure context management and interoperability.
- Design A2A coordination and hybrid architectures spanning cloud, edge, and on-premise deployments.
- Ensure scalability, modularity, observability, security, and governance across federated infrastructures.
- Evaluate and adopt AI technologies and frameworks.
Project and technical leadership
- Oversee AI projects from conceptualization through deployment and optimization, managing timelines, resources, and budgets.
- Lead cross-functional teams and collaborate with product management, data science, and engineering.
- Guide AI model development, deployment, maintenance, and MLOps practices.
- Partner with leadership to communicate initiative value and impact.
- Track research and trends, foster team learning, and collaborate with global partners on MCP standards and interoperability.
Qualifications
- Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
- 10+ years in AI/ML solution design and development, with a record of delivering impactful solutions.
- Experience leading large-scale AI projects and cross-functional teams.
- Experience with AWS, Azure, or GCP, AI services, and hybrid deployments with on-premise GPU environments.
- Strong programming skills in Python, Rust, or Java; expertise in machine learning, NLP, computer vision, and deep learning.
- Proficiency with TensorFlow, PyTorch, scikit-learn, or Semantic Kernel.
- Understanding of data engineering, ETL, Spark, Ray, or Kafka, and integration of structured and unstructured data pipelines.
- Experience with MLOps and production model deployment.
- Strong analytical, problem-solving, communication, and interpersonal skills.
Working at Inception
- The company describes an open, inclusive culture, learning and development opportunities, and innovative projects.
- A hybrid work policy and competitive remuneration package with healthcare, education support, and leave benefits are offered.
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