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Principal Solutions Architect - Enterprise AI

Inception42 · Abou Dabi

New
Hybrid Senior 🇬🇧 English
Python Rust Java AWS Azure GCP TensorFlow PyTorch scikit-learn Semantic Kernel LangChain Spark Ray Kafka MLOps

Job description

About the role

Inception AI, a G42 company, is deploying a large-scale AI program across Abu Dhabi's critical sectors, including Government, Education and State-Owned Enterprises. It is seeking a Principal Solutions Architect to lead enterprise-scale AI initiatives, shape the AI strategy, lead high-impact projects and provide technical leadership. The role pioneers Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration to build scalable, secure and interoperable AI systems in hybrid and on-premise environments.

Key responsibilities

  • Define and drive the AI strategy aligned with business objectives, identify high-value AI opportunities and act as a thought leader in AI.
  • Architect and oversee scalable AI solutions, multi-agent systems using MCP, and A2A collaboration frameworks across cloud, edge and on-premise deployments.
  • Lead hybrid AI architectures combining Generative AI, structured reasoning agents and traditional enterprise services, and evaluate new AI technologies.
  • Oversee the full lifecycle of AI projects, lead cross-functional teams and manage timelines, resources and budgets.
  • Partner with leadership, product management, data science and engineering teams, and promote MLOps practices.

Required profile

  • 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 AI solutions.
  • Demonstrated experience leading large-scale AI projects and managing cross-functional teams.
  • Exceptional problem-solving, communication and strategic thinking skills.

Required skills

  • Cloud platforms (AWS, Azure, GCP) and hybrid AI deployments with on-premise GPU and edge compute.
  • Programming in Python, Rust or Java.
  • Machine learning, NLP, computer vision and deep learning; TensorFlow, PyTorch, scikit-learn, Semantic Kernel.
  • Data engineering, ETL and distributed data technologies (Spark, Ray, Kafka).
  • MLOps and production model deployment.

What we offer

  • An open, diverse and inclusive culture with structured training and development programs.
  • A hybrid work policy.
  • A competitive remuneration package with healthcare, education support and leave benefits.

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Published 3 hours ago

Expires 1 month from now

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Inception42

Abou Dabi