Senior AI-Native Delivery Manager

Hybrid in Belarus

Delivery Management.AI

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We are searching for a Senior AI-Native Delivery Manager to lead the comprehensive delivery of integrated digital solutions for a prominent oil and gas client in the Middle East.

This position demands a combination of advanced engineering and architectural knowledge, practical experience in AI project delivery, and the ability to build strong relationships with C-level executives and government stakeholders in a multicultural, Arabic business context. The chosen candidate will act as the primary client liaison, manage a diverse delivery team, and contribute to account expansion, with frequent travel to the UAE required.

Responsibilities

Oversee the entire lifecycle of digital solution delivery, from initial concept through to production deployment in complex enterprise settings
Serve as the primary client interface, ensuring transparent communication and alignment with project objectives
Lead and inspire a multicultural, cross-functional delivery team working across multiple project streams
Direct project planning, estimation, and execution in technically challenging and ambiguous environments
Champion Agile and Scrum methodologies with a focus on delivering tangible business value
Establish and maintain robust risk management practices, proactively identifying and addressing potential delivery risks
Govern project delivery across a wide range of stakeholders, including senior executives and government officials
Collaborate with account management to drive account growth, delivery strategy, and client satisfaction metrics
Guide the design and integration of backend systems, including microservices, event-driven architectures, and API-led solutions
Oversee enterprise integration, data architecture, and security for hybrid cloud and on-premises infrastructures
Lead AI and machine learning initiatives from use-case selection and proof of concept to production and ongoing improvement
Make strategic architectural decisions regarding advanced AI technologies such as LLMs, RAG pipelines, vector databases, and prompt engineering
Leverage AI-powered tools in daily delivery management, including coding assistants and automated planning solutions

Requirements

Minimum of 15 years of progressive IT experience, with at least 8 years in senior delivery, program, or architecture leadership roles
Proven ability to deliver large-scale, enterprise-level programs involving multiple workstreams, 50+ team members, and multi-year durations
Advanced leadership in Agile and Scrum, emphasizing results and managing portfolios of concurrent projects
Expertise in risk management, including proactive identification, assessment, and mitigation of delivery risks
Strong planning and estimation skills in complex and uncertain technical environments
Experience managing delivery across senior stakeholder groups, including C-level executives and government representatives
Demonstrated success in supporting account growth, delivery strategy, and client satisfaction in partnership with account management
Deep knowledge of backend architecture, including microservices, event-driven systems, and API-led integration
Familiarity with enterprise architecture frameworks such as TOGAF or similar standards
Strong background in cloud platforms (Azure, AWS, GCP), including infrastructure as code, containerization, CI/CD, and observability
Experience managing hybrid environments that combine cloud, on-premises, multiple vendors, and legacy systems
Proficiency in enterprise integration patterns, data architecture (data lakes, lakehouses, streaming), and security at the enterprise level
Hands-on leadership of AI/ML projects from ideation and prioritization through proof of concept and production deployment
Technical understanding of modern AI architectures, including LLMs, RAG pipelines, embeddings, fine-tuning, and prompt engineering
Working knowledge of cloud AI platforms such as Azure AI/OpenAI Service, AWS SageMaker, Vertex AI, and Databricks
Experience leading interdisciplinary AI teams, including data engineers, ML engineers, data scientists, and business product owners
Practical use of AI tools in delivery management, such as AI coding assistants and AI-driven risk or planning tools
Exceptional written and spoken English at a C1 business level, with strong executive presentation skills
High emotional intelligence and adaptability in communication for diverse cultural and seniority contexts
Demonstrated people leadership, fostering motivation, psychological safety, and high performance in multicultural teams

Nice to have

Certifications relevant to cloud platforms, AI, or delivery management