The company is looking for an experienced Consulting Project Manager with deep expertise in Generative AI and Agentic AI systems. In this role, you will lead the end-to-end delivery of AI transformation initiatives for clients. Your responsibilities will include managing client engagements focused on GenAI and agentic AI solutions from discovery and architecture through to delivery and scale. This position sits at the intersection of AI engineering, product thinking, and consulting delivery and requires you to work with multi-disciplinary teams while managing client communication and ensuring solutions meet security, governance, compliance, and responsible AI standards.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities:
- Lead client engagements focused on GenAI and agentic AI solutions.
- Translate business problems into LLM-driven and agent-based solutions.
- Act as a hands-on delivery lead, reviewing prompts, agent logic, RAG pipelines, and deployment approaches.
- Manage multi-disciplinary teams (AI engineers, data scientists, cloud engineers, UX) using agile delivery models.
- Own client communication, roadmap definition, risk management, and value realization.
- Support pre-sales activities by contributing to proposals, solution design, and client workshops.
Required Experience & Skills:
- Strong practical experience with LLMs (e.g., OpenAI, Azure OpenAI, Anthropic).
- Hands-on experience with prompt engineering, RAG architectures, and agentic frameworks.
- Experience building and deploying multi-agent systems.
- Familiarity with cloud AI stacks (Azure, AWS, or GCP).
- 8-12+ years of experience in consulting, digital transformation, or AI delivery roles.
- Proven track record of managing complex client engagements with senior stakeholders.
Preferred Qualifications:
- Background as an AI engineer, data scientist, or solution architect.
- Experience in defining AI operating models and scaling GenAI across an enterprise.
- Certifications in cloud platforms or AI/ML (a plus but not mandatory).
Work Conditions:
- Hybrid working model, combining remote and onsite work.
