Introduction
We are seeking a visionary and client-facing Director of Technology – AI to lead strategic AI initiatives, solution design, and pre-sales engagements for our global Digital Product Engineering services business. This role requires a blend of strong technical AI expertise, business acumen, and exceptional client management skills.
Director – AI
Place of work: Global
We offer: Competitive salary and benefits package.
Working hours: Full-time
ResponsibilityWhat will you be responsible for:
Driving AI/ML strategy and solution offerings across service lines; leading pre-sales activities, including RFP responses, solution architecture, and client presentations; defining and governing AI solution frameworks and reusable assets; providing delivery oversight for complex AI engagements; collaborating with cross-functional teams (sales, domain consultants, and delivery leaders); hiring, mentoring, and leading AI teams across geographies; ensuring ethical, scalable, and secure deployment of AI solutions; representing the organization at client briefings, webinars, and industry forums. Establishing AI as a strategic differentiator and driving AI revenue at the business unit level are key objectives.
Specifically the activities will be:
Developing and implementing AI strategies; leading pre-sales efforts, including proposals and client presentations; architecting and overseeing the delivery of complex AI solutions; collaborating with cross-functional teams; building and mentoring high-performing AI teams; ensuring the ethical and responsible use of AI.
ExperienceWhat requirements are we looking for?
15+ years of technology experience, with at least 5 years in AI leadership roles within IT services. A proven track record in pre-sales, solutioning, and stakeholder engagement is essential. Deep experience with AI/ML, Generative AI, NLP, LLMs, and cloud-native ML platforms is required.
Requirements/SkillsWhat requirements are we looking for?
Master’s or Ph.D. in Computer Science, Data Science, or a related field. Proficiency in tools and platforms such as TensorFlow, PyTorch, MLflow, Hugging Face, and MLOps stacks. Excellent client-facing and communication skills are crucial. Experience with AI ethics, privacy, and model governance is preferred, as are relevant AI certifications from cloud providers or professional institutes.
Level of studyWhat requirements are we looking for?
Master’s or Ph.D. in Computer Science, Data Science, or a related field.