Principal AI Consultant (m/f/d)

About Us

Principal AI Consultant

Your Tasks

• Lead complex Artificial Intelligence engagements from opportunity shaping and problem framing to solution delivery, deployment, and adoption
• Guide the design and implementation of production-grade AI solutions, includingsolution architecture,models, AI applications, APIs, orchestration layers, pipelines, and platform integrations
• Bring structure to ambiguous business challenges by defining scope, requirements, execution plans, technical approaches, and expected value
• Ensure delivery excellence through strong engineering standards, code quality expectations, testing approaches, observability, monitoring, and operational governance
• Drive key technical and functional decisions across modelling, application architecture, scalability, reliability, security, and maintainability
• Manage and influence technical and business stakeholders, building trust andidentifyingopportunities foradditionalvalue creation
• Coach and guide team members across project delivery, technical problem solving, and solution quality
• Contribute to reusable assets, delivery methodologies, technical standards, and best practices across the Artificial Intelligence practice
• Present strategic recommendations, delivery progress, and technical outcomes ina clear way, translating complexity into business impact
• Build and strengthen client relationships,identifygrowth opportunities within existing accounts, and contribute to new business development
• Contribute to recruitment activities, including candidate evaluation, interviews, and support throughout the hiring process
• Mentor senior team members and help develop leadership, delivery, and technical capabilities across the practicewithin project delivery
• Represent the Artificial Intelligence team in internal and external initiatives, promoting its capabilities, impact, and continuous growth
• What do we expect from you?

Education & Experience

• Degree in Computer Science, Engineering, Statistics, or related field
• +7years of experience in Data Science or AI roles
• +2 years of experience leading teams and managing end-to-end project delivery
• Proven experience delivering AI/ML solutions in production environments
• Strong experience leading end-to-end project delivery, technical design, and stakeholder management in client-facing environments

Technical Skills

• Expert programming skills in Python and strong hands-on experience with AI / ML frameworks and production AI ecosystems
• Deep understanding of Statistics, Machine Learning, Artificial Intelligence, and the design of production-grade intelligent systems
• Strong expertise in architecting and delivering scalable AI applications, including APIs, services, pipelines, orchestration, deployment, and monitoring
• Strong software engineering knowledge covering architecture patterns, code quality, testing strategy, CI/CD, observability, resilience, security, and long-term maintainability
• Advanced knowledge of MLOps/LLMOps practices, including deployment, model and application monitoring, evaluation frameworks, governance, feedback loops, and lifecycle management
• Broad understanding of modern AI solution types such as machine learning models, forecasting, recommendation systems, optimization, AI agents, RAGand LLM-based applications

Soft Skills

• Excellent communication and stakeholder management skills
• Strong leadership and coaching capabilities
• Ability to translate complex technical concepts into business value and strategic direction
• Analytical, problem-solving and decision-making skills
• Proactive, team player, and continuous improvement mindset
• Ability to operate effectively in ambiguous and fast-evolving environments

What You Can Expect

• Agile company culture and the best team
• Join our international, ambitious, and collaborative teams that value ownership and excellence.
• Structured onboarding for smooth integration.
• Company-wide events (Christmas, Spring, Summer) and regular after works.
• Community initiatives and team-driven activities (Football team, Gaming channel).
• Continuous development
• Work on challenging projects that accelerate your professional growth.
• Structured mentoring, training, and certification programs.
• Use of agile frameworks combined with established planning and delivery standards.
• Talent Cycle: regular performance reviews, continuous feedback, and clear career paths.

Working Model

• Abu Dhabi - In office

Other Benefits

• Flexible benefits plan: health insurance, transport, childcare vouchers.
• Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression.
• 25 vacation days.