Senior Manager | Engineering AI & Data | AI Architect Deloitte

Key Responsibilities

• 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

• 12+ years of professional experience with at least 5+ 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.