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Principal Solutions Architect

Inception42
Abu Dhabi, UAE
Full-time
Director
Onsite
Discovered 5 days ago
AI/ML solution architectureAgentic AI and multi-agent systemsModel Context Protocol (MCP)Agent-to-Agent (A2A) orchestrationLangChainSemantic Kernel

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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