Artificial Intelligence Specialist

Confidential

Doha

On-site

QAR 350,000 - 700,000

Full time

4 days ago
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Job summary

Confidential seeks an experienced Data & AI Solutions Lead to drive and implement AI, ML, Generative AI, and data-driven solutions across the organization. The role combines strong technical knowledge with business and consulting capabilities to identify AI-driven opportunities that improve processes, decision-making, automation and measurable value.

The role works with management, business functions, clients, technology teams, and external partners to translate requirements into practical AI

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, or a related field.
  • Relevant professional certifications in AI, Machine Learning, Data Science, or cloud technologies are an advantage.
  • Minimum 8–10 years of experience in software, technology, digital transformation, or related fields, with significant recent AI focus.
  • Demonstrated experience implementing AI/ML and Generative AI use cases in a business environment.
  • Experience in solution consulting, solution architecture, presales, or technology consulting is highly desirable.
  • Experience leading technical teams and multidisciplinary projects.
  • Strong understanding of software development, system integration, data architecture, APIs, and cloud-based technologies.
  • Knowledge of LLMs, Generative AI, Machine Learning concepts, data analytics, and AI solution architecture.
  • Experience working directly with senior management and clients to understand business challenges and propose technology solutions.
  • Previous experience establishing or developing an AI/Data function or capability would be an advantage.

Responsibilities

  • Lead the identification, design, and implementation of AI, Machine Learning and Generative AI solutions.
  • Assess business processes and identify opportunities for AI-enabled automation, optimization, and digital transformation.
  • Translate business requirements into practical technical and AI solutions.
  • Develop and manage AI use cases from initial concept and feasibility assessment through implementation and deployment.
  • Lead the development of Generative AI solutions, including applications using Large Language Models (LLMs).
  • Support the development of AI-powered tools, assistants, knowledge-management solutions, and intelligent automation.
  • Work with structured and unstructured data to support analytics, machine-learning, and AI applications.
  • Evaluate AI technologies, platforms, models, and vendors and recommend appropriate solutions.
  • Develop proofs of concept (POCs) and prototypes to demonstrate the business value of proposed AI solutions.
  • Lead technical discussions, solution demonstrations, workshops, and presentations with internal stakeholders and clients.
  • Collaborate with IT, software development, data, operations, and business teams to ensure successful integration of AI solutions.
  • Establish appropriate standards and processes for the responsible and secure use of AI.
  • Support AI governance, data privacy, security, and regulatory compliance requirements.
  • Monitor the performance and business impact of implemented AI solutions and recommend improvements.
  • Build and develop AI capabilities within the organization, including recruitment, mentoring, and development of technical resources where required.
  • Keep abreast of developments in AI, Machine Learning, Generative AI, cloud technologies, and emerging digital solutions.
  • Support management in developing the organization's overall AI and digital transformation strategy and roadmap.

Skills

AI/ML concepts
Generative AI concepts
Cloud-based technologies
Solution architecture
Leadership & team management
Consulting & client-facing
Stakeholder management
Communication & presentation
Cross-functional collaboration

Education

Bachelor's degree in CS / Software Eng / Data Science / AI / IT
Certifications in AI / ML / Data Science or cloud tech

Tools

Cloud platforms

Job description

We are seeking an experienced Data & AI Solutions Lead to drive the development and implementation of Artificial Intelligence, Machine Learning, Generative AI, and data-driven solutions across the organization.

The successful candidate will combine strong technical knowledge with business and consulting capabilities, identifying opportunities where AI and emerging technologies can improve business processes, enhance decision-making, automate workflows, and create measurable value.

The role will work closely with management, business functions, clients, technology teams, and external partners to translate business requirements into practical AI and digital solutions.

Key Responsibilities
  • Lead the identification, design, and implementation of AI, Machine Learning and Generative AI solutions.
  • Assess business processes and identify opportunities for AI-enabled automation, optimization, and digital transformation.
  • Translate business requirements into practical technical and AI solutions.
  • Develop and manage AI use cases from initial concept and feasibility assessment through implementation and deployment.
  • Lead the development of Generative AI solutions, including applications using Large Language Models (LLMs).
  • Support the development of AI-powered tools, assistants, knowledge-management solutions, and intelligent automation.
  • Work with structured and unstructured data to support analytics, machine-learning, and AI applications.
  • Evaluate AI technologies, platforms, models, and vendors and recommend appropriate solutions.
  • Develop proofs of concept (POCs) and prototypes to demonstrate the business value of proposed AI solutions.
  • Lead technical discussions, solution demonstrations, workshops, and presentations with internal stakeholders and clients.
  • Collaborate with IT, software development, data, operations, and business teams to ensure successful integration of AI solutions.
  • Establish appropriate standards and processes for the responsible and secure use of AI.
  • Support AI governance, data privacy, security, and regulatory compliance requirements.
  • Monitor the performance and business impact of implemented AI solutions and recommend improvements.
  • Build and develop AI capabilities within the organization, including recruitment, mentoring, and development of technical resources where required.
  • Keep abreast of developments in AI, Machine Learning, Generative AI, cloud technologies, and emerging digital solutions.
  • Support management in developing the organization's overall AI and digital transformation strategy and roadmap.
Qualifications & Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, or a related field.
  • Relevant professional certifications in AI, Machine Learning, Data Science, or cloud technologies are an advantage.
  • Minimum 8–10 years of experience in software, technology, digital transformation, or related fields, with significant recent experience in AI, Data, or Machine Learning.
  • Demonstrated experience implementing AI/ML and Generative AI use cases in a business environment.
  • Experience in solution consulting, solution architecture, presales, or technology consulting is highly desirable.
  • Experience leading technical teams and multidisciplinary projects.
  • Strong understanding of software development, system integration, data architecture, APIs, and cloud-based technologies.
  • Knowledge of LLMs, Generative AI, Machine Learning concepts, data analytics, and AI solution architecture.
  • Experience working directly with senior management and clients to understand business challenges and propose technology solutions.
  • Previous experience establishing or developing an AI/Data function or capability would be an advantage.
Skills & Competencies
  • Strong AI and technology knowledge combined with commercial and business understanding.
  • Excellent analytical and problem-solving skills.
  • Strong leadership and team-management capabilities.
  • Ability to translate complex technical concepts into clear business language.
  • Excellent communication, presentation, and stakeholder-management skills.
  • Strong consulting and client-facing capabilities.
  • Ability to manage multiple projects and priorities.
  • Innovative and solution-oriented mindset.
  • Strong understanding of digital transformation and emerging technologies.
  • Ability to work effectively across multidisciplinary and international teams.
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