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AI Practice Lead

Catalyst24
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
Artificial intelligenceDeep learningTransformers, RNNs, and CNNsClassical machine learningData mining and statistical modelingGenerative AI

Full Job Posting

Role overview

AI Practice Lead role at a digital transformation consulting firm serving the financial services industry.

Shape and execute the company’s AI vision and oversee enterprise AI solutions from concept through production.

The AI division delivers ethical, secure, and scalable AI solutions, including AI data management, AI software engineering, and AI automation.

Strategy and delivery

  • Lead AI strategy and execution in alignment with organizational goals and client objectives.
  • Govern successful delivery of enterprise AI projects from ideation through deployment.
  • Build and lead delivery of AI solutions for the MENA market across multiple industries.
  • Support solutioning and presales for AI opportunities.

Leadership, adoption, and external representation

  • Represent the company as an AI ambassador through presentations, industry discussions, and market engagement.
  • Develop thought leadership through white papers, publications, forums, and conferences.
  • Mentor and grow a high-performing AI team and promote proactive training across the organization.
  • Drive internal and client adoption of AI and share best practices, guidelines, and metrics demonstrating effectiveness and adoption.
  • Advocate for AI engineering across all areas of the software development lifecycle.

Governance and collaboration

  • Work with legal, compliance, and risk teams to follow current governance frameworks, ethical guidelines, and regulatory requirements.

Education and technical qualifications

  • A BSc, master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline is required.
  • Extensive expertise in deep learning and modeling, including Transformers, RNNs, and CNNs; classical machine learning; data mining; and statistical modeling and analysis.
  • Demonstrated success managing and delivering large-scale AI projects in enterprise environments.
  • Proficiency developing and deploying Generative AI solutions on cloud infrastructure such as AWS, Azure, or Google Cloud.
  • Significant experience in computer vision, natural language processing, predictive analytics, and databases such as NoSQL, Neo4j, and vector databases.
  • Strong foundation in data quality, governance, and data readiness principles.
  • Snowflake and Databricks knowledge is a nice-to-have, including understanding their potential commercial value in professional services.

Leadership and delivery qualifications

  • Exceptional communication and presentation skills for technical and non-technical stakeholders, with strong leadership, strategic thinking, and collaborative team management.
  • Experience building AI solutions in regulated environments.
  • Ability to build and lead AI solution delivery for the MENA market across multiple industries.

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