Senior Manager – AI Control Tower

AI Platforms Lead, “AI Control Tower” – Senior Manager

Start Date – ASAP

Job Purpose

To lead the engineering and operational management of the ADCB AI estate by providing accountable service ownership, consolidated performance visibility, and capacity management. Own the development and scaling of shared AI access, connectivity and integration with models, agents, and enterprise services. Drive standardisation, intelligent automation, and continuous optimisation across the AI estate, enabling secure, efficient, and resilient adoption at enterprise scale.

ACCOUNTABILITIES:

• Own and evolve the technical strategy, service architecture and roadmap for AI access, integration, and operational capabilities. Define reusable service patterns, engineering standards and ownership boundaries across models, agents, APIs, and shared enterprise services.
• Lead the design and operation of API and LLM gateways, MCP services and enterprise integrations. Define routing, authentication, access policies, throttling, versioning, and reusable integration patterns.
• Establish repeatable onboarding, configuration, release and retirement processes for models, agents, and shared services. Maintain dependency inventories, compatibility checks, evaluation evidence, and tested rollback procedures.
• Define telemetry and tracing standards across model calls, agent execution, and tool interactions. Correlate availability, latency, quality and consumption signals to diagnose degradation and prioritise engineering improvements.
• Set service objectives and drive capacity, load, and resilience testing. Lead technical incident resolution, root-cause analysis, and recovery exercises; automate recurring remediation within agreed operational controls.
• Establish usage metering, cost attribution and demand forecasts across services and consumers. Optimise quotas, committed capacity, routing, and caching against cost per successful task, performance, and quality targets.
• Establish engineering standards and automated controls that support responsible AI adoption. Shape the evolution of Control Tower capabilities to meet emerging model, agent, and enterprise service needs.
• Lead major operational coordination, incident management, action tracking, disaster-recovery readiness, and business-continuity evidence, while routing security events to the designated Cybersecurity function.
• Manage operational and technical performance of cloud, model, platform and resource partners against agreed deliverables, service levels, evidence requirements, and knowledge-transfer commitments.
• Maintain first-line operational controls, evidence and remediation tracking for change, security, data protection, architecture, and audit requirements; escalate risk acceptance and independent assurance decisions to authorised functions.
• Provide technical leadership to AI platform, operations, and reliability engineers, ensuring architectural alignment, engineering quality, and resilient delivery across shared AI services.
• Mentor engineers in AI-assisted development, lifecycle automation, observability, and performance optimization, building capability to support advanced models and agent systems.
• Drive technical reviews and continuous improvement, introducing reusable patterns, engineering accelerators and automated controls that strengthen platform reliability, cost efficiency, and developer experience.
• Manage self and team in line with ADCB’s people management policies, procedures, processes, and practices to ensure adherence and to maximize own and employee contribution to business performance. Organize and supervise the activities and work of the team to ensure that targets and objectives are achieved and the business plan is delivered in line with the required policies, processes, procedures, and systems
• Implement approved departmental policies, processes, and procedures, and ensure employee adherence so that work is carried out to the required standard while delivering the required standards of service to customers and stakeholders
• Manage and motivate the team to ensure they contribute to, and participate in, the identification and implementation of change initiatives, programs, and projects in line with the Bank’s standards
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

Minimum Experience:

• At least 15 years of relevant professional experience in platform engineering, enterprise integration, cloud services, reliability engineering, or AI/ML operations, including significant technical leadership in complex production environments.
• Demonstrated experience in designing, scaling and managing shared technology services, supported by practical experience in enterprise AI platforms, model and agent operations, or AI service integration. Experience within banking or another regulated industry is preferred.

Knowledge & Skills:

• Shared platform services, distributed systems, cloud architecture, service design, technical standards, and platform evolution.
• Generative AI, agentic systems, LLMOps, AgentOps, model lifecycle management, evaluation and emerging AI capabilities API management, AI gateways, model routing, MCP services, enterprise integration, identity, and access controls – Azure or AWS. AI observability, distributed tracing, service performance, SRE, service-level objectives, incident diagnosis, and recovery engineering.
• FinOps, consumption attribution, demand forecasting, capacity planning, and performance-cost optimization. DevSecOps, infrastructure code, release automation, policy enforcement, lifecycle controls, and auditable evidence.
• Engineering reviews, team development, technical roadmap ownership, vendor assessment and collaboration across product, architecture, security, and operations.
• Executive reporting; vendor management; audit evidence; people leadership and cross-functional influence.

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