Manager - | AI & Data | KSA - UAE

About Deloitte

Our Purpose

• Deloitte makes an impact that matters.
• Every day we challenge ourselves to do what matters most—for clients, for our people, and for society.
• We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth.
• We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture.
• We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
• Our shared values guide the way we behave to make a positive, enduring impact:
• Lead the way
• Serve with integrity
• Take care of each other
• Foster inclusion
• Collaborate for measurable impact
• Role Summary
• The Manager – AI & Data will lead the design and delivery of complex AI and GenAI solutions for clients across public and private sectors.
• The role is techno‑functional, requiring strong hands‑on capability in solution architecture, AI product design, and end‑to‑end delivery of AI initiatives—from problem framing through production deployment and value realization.
• This role is accountable for
• solution quality, technical design decisions, and delivery outcomes
• , and it is not just limited to advisory and oversight.
• Key Responsibilities

• Security Groups Maintenance

• Subscription management
• Cloud and Networking Architecture design, implementation, management
• DevOps
• Fortify and SNYK launch
• BRD, FCD and TRD definition
• GTOM documentation update
• 10 developers daily tasks set up at code functions level
• Code QA and pull requests approval.
• React, python, fastapi, docker code issues remediation
• UAT design and perform

Technical & Functional Expertise

• 9 –14+ years of experience in data, analytics, or AI roles with direct delivery accountability
• Strong understanding of:
• + Machine learning fundamentals and applied AI
• + Generative AI and LLM architectures
• + Data engineering concepts supporting AI workloads
• Proven experience delivering production‑grade AI solutions, not just prototypes and POCs

AI & GenAI Capabilities

• Exposure to:
• + LLM orchestration frameworks
• + Prompt engineering and retrieval‑augmented generation (RAG)
• + Model evaluation, bias, and performance considerations
• Practical understanding of AI governance, model risk, and responsible AI considerations

Consulting & Leadership

• Experience working in client‑facing environments
• Ability to balance technical depth with commercial and delivery constraints
• Strong communication skills for technical and non‑technical audiences

Cloud & Engineering (desirable)

• Experience and exposure to at least one Hyperscaler
• Ability to design scalable, secure AI architectures