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Technical Project Manager – Generative AI

Job in Abu Dhabi, UAE/Dubai
Listing for: NorthBay Solutions LLC
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Project Manager
Salary/Wage Range or Industry Benchmark: 420000 - 560000 AED Yearly AED 420000.00 560000.00 YEAR
Job Description & How to Apply Below
Technical Project Manager – Generative AI

Location:

Abu Dhabi, United Arab Emirates (UAE)

Employment Type:

Full-Time, Permanent
Work Model:
Onsite

Required Experience:

10–12+ Years

About the Role

We are seeking an experienced Technical Project Manager – Generative AI to lead the planning, execution, and delivery of enterprise-scale AI/ML initiatives, with a particular focus on Generative AI solutions. The ideal candidate will combine strong project and program management capabilities with a solid understanding of AI technologies, including Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and machine learning systems.

The successful candidate will act as a bridge between business stakeholders, product teams, data scientists, AI engineers, and software development teams, ensuring that technical solutions align with business objectives and are delivered within agreed timelines, budgets, and quality standards. The role also requires effective management of project risks, stakeholder expectations, AI governance, and cross-functional delivery activities.

Key Responsibilities
  • Lead end-to-end Generative AI and AI/ML projects, from requirements gathering and planning through development, deployment, and adoption.
  • Define project scope, objectives, deliverables, timelines, resource requirements, and success criteria in collaboration with stakeholders.
  • Translate business requirements into clear technical specifications and actionable project plans for AI and engineering teams.
  • Coordinate solution design and implementation involving LLMs, NLP, RAG pipelines, and multimodal AI technologies.
  • Manage cross-functional teams comprising AI engineers, data scientists, software developers, cloud engineers, and business stakeholders.
  • Oversee project schedules, budgets, resource allocation, dependencies, risks, and change requests to ensure successful delivery.
  • Facilitate Agile/Scrum activities, including sprint planning, backlog prioritization, daily stand-ups, sprint reviews, and retrospectives.
  • Monitor project progress, KPIs, milestones, deliverables, and quality metrics, providing regular status reports to senior management.
  • Ensure AI initiatives align with organizational requirements for security, data privacy, responsible AI, governance, and regulatory compliance.
  • Coordinate AI model development, testing, fine-tuning, deployment, monitoring, and ongoing improvement activities.
  • Manage stakeholder communication and expectations, resolving delivery challenges and facilitating timely decision-making.
  • Identify project risks, develop mitigation strategies, and proactively address technical and operational dependencies.
  • Collaborate with business and technical teams to ensure AI solutions meet functional requirements, performance expectations, and business objectives.
  • Support client engagements, solution presentations, proposals, and pre-sales activities when required.
  • Drive continuous improvement in project delivery processes, team collaboration, and AI implementation practices.
Required Skills and Experience
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
  • 10–12+ years of professional experience in IT project management, technical program management, or technology delivery.
  • At least 3–5 years of experience managing AI/ML-related projects, preferably involving Generative AI, LLMs, NLP, or enterprise AI solutions.
  • Proven track record of delivering complex technology projects within agreed timelines, budgets, and quality standards.
  • Strong understanding of the AI/ML lifecycle, including model development, training, fine-tuning, deployment, evaluation, and monitoring.
  • Working knowledge of Generative AI…
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