synvert International(Recruiting)
About synvert a GlobalLogic company
About Us
We are a specialist consulting firm delivering services and solutions in “Everything Data” – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. We are part of a strategic alliance with Synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA’s largest D&A consulting companies.
Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.
As a Principal AI Consultant you’ll be responsible for leading complex end-to-end Artificial Intelligence engagements, driving the definition, architecture, delivery, and adoption of high-impact AI solutions. The role combines deep expertise in AI, machine learning, and software engineering with strong leadership and consulting capabilities. The Principal Artificial Intelligence Consultant provides direction on solution design, delivery strategy, and technical standards, ensuring that AI solutions are scalable, reliable, maintainable, and aligned with business objectives.
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.
Hiring Process
Lead complex end-to-end AI engagements from problem framing to deployment and adoption. Drive the technical architecture and delivery of scalable, production-grade AI solutions while managing stakeholders and mentoring team members.
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