Manager | Engineering AI & Data | AI & Data | AI Architect

Overview

About Deloitte

Our Purpose

Strategy & Advisory

• Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.

Architecture & Solution Design

• Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
• Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
• Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.

Delivery & Execution

• Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
• Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
• Drive the industrialization of AI assets into reusable accelerators and IP for the firm.

Leadership & Practice Building

• Mentor and develop AI architects, engineers, and consultants within the firm.
• Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
• Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.

Qualifications & Experience

• 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
• Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
• Strong technical foundation in:
• + Large Language Models (LLMs), generative AI, and agent-based systems
• + MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
• + Enterprise application ecosystems (ERP, CRM, HRM platforms)
• + AI security, governance, and compliance frameworks
• Track record of leading large-scale AI programs and cross-functional teams.
• Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
• Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
• Willingness to travel across GCC region (50-75% of time)

Additional Preferred Qualifications

• Arabic language is a plus.
• Professional Certifications in the field is a plus.
• Publications or articles on Artificial Intelligence topics is a plus.

Key Competencies

• Strategic Thinking – Ability to shape enterprise AI transformation journeys.
• Technical Leadership – Expertise in designing and governing scalable AI architectures.
• Client Engagement – Strong consulting skills, executive presence, and storytelling ability.
• Innovation Mindset – Passion for exploring emerging AI paradigms and turning them into business value.
• People Leadership – Proven ability to mentor, inspire, and build high-performing teams.

What We Offer

• Opportunity to lead AI architecture for some of the region’s most ambitious transformation programs.
• A platform to shape the future of AI consulting and build new IP and accelerators.
• Career growth in a dynamic, fast-scaling practice with global exposure.
• Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
• Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
• Strong business acumen, identifying opportunities where data science can drive business value and growth.