Role Overview:

The AI LLM Delivery Manager serves as a strategic bridge between cutting-edge generative AI capabilities and complex enterprise business requirements. In this role, you will lead high-impact delivery teams to architect and deploy large-scale LLM, NLP, and Big Data solutions that drive digital transformation across global organizations. You will collaborate closely with C-suite stakeholders, data scientists, and cybersecurity architects to translate ambiguous business problems into robust, scalable AI products. By overseeing the end-to-end lifecycle - from IT strategy and data governance to final implementation - you will directly influence the organization's competitive edge, ensuring that AI initiatives are not only technologically superior but also secure, compliant, and aligned with long-term business value.

Key Responsibilities:

- Orchestrate the end-to-end delivery of complex AI and LLM projects, ensuring milestones are met within scope and budget to drive measurable business transformation.

- Partner with cross-functional teams to design secure data architectures that integrate Big Data pipelines with advanced NLP models, ensuring high performance and data integrity.

- Implement rigorous IT governance and data governance frameworks to ensure that all AI deployments adhere to global cybersecurity standards and regulatory compliance.

- Translate complex technical AI roadmaps into actionable IT strategies for senior stakeholders, facilitating informed decision-making and resource allocation.

- Mentor and lead multidisciplinary teams of engineers and data scientists, fostering a culture of technical excellence and agile delivery to accelerate time-to-market for AI products.

- Manage client relationships by providing transparent project reporting, risk mitigation strategies, and value-driven insights that reinforce trust and long-term partnership.

Required Skillset:

- Demonstrated expertise in managing large-scale AI/ML delivery, with a deep understanding of LLM architectures, NLP frameworks, and Big Data ecosystems.

- Proven ability to navigate the intersection of AI innovation and cybersecurity, ensuring that model deployment does not compromise enterprise security posture.

- Exceptional stakeholder management skills, with the ability to communicate complex technical concepts to non-technical leadership and influence strategic business outcomes.

- Strong background in IT strategy and project management methodologies, with a track record of leading teams through the full software development lifecycle in a hybrid or remote environment.

- Analytical mindset with a focus on data governance and quality, ensuring that AI outputs are reliable, ethical, and scalable across the enterprise.

- Educational background in Computer Science, Engineering, or a related quantitative field, complemented by a minimum of 7 - 20 years of professional experience in technical delivery and leadership roles.