We are seeking an experienced Consulting Project Manager with deep, hands-on expertise in Generative AI and Agentic AI systems to lead end-to-end delivery of AI transformation initiatives for clients. This role sits at the intersection of AI engineering, product thinking, and consulting delivery—owning outcomes from use-case definition through production deployment. The ideal candidate has personally built, tested, and deployed LLM-powered solutions, understands modern agent frameworks, and can credibly engage both C-suite stakeholders and engineering teams.
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
Location
Dubai, United Arab Emirates
Key Responsibilities
- Lead client engagements focused on GenAI and agentic AI solutions, from discovery and architecture through delivery and scale.
- Translate business problems into LLM-driven and agent-based solutions (e.g., autonomous workflows, AI copilots, decision agents).
- Act as a hands-on delivery lead, reviewing prompts, agent logic, RAG pipelines, evaluation metrics, 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.
- Ensure solutions meet security, governance, compliance, and responsible AI standards.
- Support pre-sales by contributing to proposals, solution design, and client workshops.
Requirements
AI & Technical (Hands-On – Mandatory)
- Strong, practical experience working with LLMs, such as:
- OpenAI / Azure OpenAI, Anthropic, Gemini, or open-source models (LLaMA, Mistral, etc.)
- Hands-on experience with:
- Prompt engineering and prompt optimization
- RAG architectures (vector databases, embeddings, retrieval strategies)
- Agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, custom agent orchestration)
- Experience building and deploying multi-agent or tool-using systems (function calling, APIs, workflows)
- Familiarity with LLM evaluation, observability, latency/cost optimization, and hallucination mitigation
- Working knowledge of cloud AI stacks (Azure, AWS, or GCP) and modern MLOps / LLMOps practices
Consulting & Delivery
- 8–12+ years of experience in consulting, digital transformation, or AI delivery roles.
- Proven track record managing complex client engagements with senior stakeholders.
- Strong ability to bridge business strategy and technical execution.
- Experience delivering AI solutions in banking, retail, telecom, or regulated industries is a strong plus.
Preferred Qualifications
- Background as an AI engineer, data scientist, or solution architect before moving into project/program leadership.
- Experience defining AI operating models and scaling GenAI across an enterprise.
- Exposure to agentic commerce, autonomous decisioning, or AI-driven operations.
- Certifications in cloud platforms or AI/ML (nice to have, not mandatory).
What Success Looks Like
- Clients trust you as a credible AI practitioner, not just a project manager.
- AI solutions move from POC to production, delivering measurable business value.
- Teams ship robust, scalable agentic systems, not demos.
- You help shape the firm’s AI consulting offerings and delivery standards.
Corporate Security Responsibility
All activities involving access to the company's assets, information, and networks come with an inherent risk to the organization. It is expected that every person working for, or on behalf of, the company is responsible for information security and must:
- Abide by the company's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach; and
- Complete all periodic mandatory security trainings in accordance with the company's guidelines.
